{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 《python数据可视化之matplotlib实践》\n",
    "## chapter 4\n",
    "## 完善统计图形\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "\n",
    "mpl.rcParams['font.sans-serif'] = ['FangSong']  # 显示中文\n",
    "mpl.rcParams['axes.unicode_minus'] = False # 不使用unicode_minus模式处理坐标轴轴线为负数的情况，\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 显示图例和标题\n",
    "## legend 和 title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图例和标题\n",
    "x = np.linspace(-2*np.pi, 2*np.pi, 200)\n",
    "y_1 = np.sin(x)\n",
    "y_2 = np.cos(x)\n",
    "\n",
    "'''\n",
    "matplotlib 支持Tex公式输入，格式为：`r$formula$`\n",
    "r表示该字符串为raw strings，字符串按照Tex规范解析。\n",
    "\n",
    "对于两个美元符号之间的非数学公式字符串会按照泄题的形式输出，呈现印刷级别的文档效果\n",
    "'''\n",
    "plt.plot(x,y_1, label=r'$\\sin(x)$')\n",
    "plt.plot(x,y_2,label=r'$\\cos(x)$')\n",
    "plt.legend(loc='lower left')\n",
    "plt.title('正弦余弦曲线图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y_1, label='$sin(x)$') # 没有按照Tex格式，中间的sin识别为普通字符串（没有写成\\sin）\n",
    "plt.plot(x,y_2,label='$cos(x)$')\n",
    "plt.legend(loc='lower left')\n",
    "plt.title('正弦余弦曲线图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图例样式的调整\n",
    "\n",
    "bbox_to_anchor : `.BboxBase` or pair of floats\n",
    "    Specify any arbitrary location for the legend in `bbox_transform`\n",
    "    coordinates (default Axes coordinates).\n",
    "\n",
    "    For example, to put the legend's upper right hand corner in the\n",
    "    center of the axes the following keywords can be used::\n",
    "\n",
    "       loc='upper right', bbox_to_anchor=(0.5, 0.5) 将图例的右上角放在中心\n",
    "\n",
    "loc : int or string or pair of floats, default: 'upper right'\n",
    "    The location of the legend. Possible codes are:\n",
    "\n",
    "        ===============   =============\n",
    "        Location String   Location Code\n",
    "        ===============   =============\n",
    "        'best'            0\n",
    "        'upper right'     1\n",
    "        'upper left'      2\n",
    "        'lower left'      3\n",
    "        'lower right'     4\n",
    "        'right'           5\n",
    "        'center left'     6\n",
    "        'center right'    7\n",
    "        'lower center'    8\n",
    "        'upper center'    9\n",
    "        'center'          10\n",
    "        ===============   =============\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = np.linspace(-1,10,100)\n",
    "y_1 = np.power(x, 1)\n",
    "y_2 = np.power(x, 2)\n",
    "y_3 = np.power(x, 3)\n",
    "\n",
    "plt.plot(x, y_1, ls='-', lw=2, color='r',label=r\"$x^{1}$\")\n",
    "plt.plot(x, y_2, ls='--', lw=2, color='g',label=r\"$x^{2}$\")\n",
    "plt.plot(x, y_3, ls='-.', lw=2, color='b',label=r\"$x^{3}$\")\n",
    "\n",
    "plt.legend(loc='upper left', \n",
    "\tbbox_to_anchor=(0.05,0.95),  # 将图例的左上角放在整幅图的（0.05， 0.95）处\n",
    "\tncol=3, #图例分成3列\n",
    "\ttitle='power function',  # 图例的标题\n",
    "\tshadow=True,\n",
    "\tfancybox=True)# 控制图例圆角或方角\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 标题的样式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 标题的样式\n",
    "plt.plot(x, y_2, ls='--', lw=2, color='g',label=r\"$x^{2}$\")\n",
    "plt.legend(title='legend title')\n",
    "plt.title('center demo')\n",
    "plt.title('left demo', loc='left', fontdict={'fontsize':16, 'color':'r','family':'Comic Sans MS','style':'oblique'})\n",
    "plt.title('right demo',loc='right', fontdict={'size':'xx-large', 'color':'b','family':'Times New Roman'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,1,'left demo')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('left demo', loc='left', fontdict={'fontsize':16, 'color':'r','family':'Comic Sans MS'}) # 可以写成字典形式\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,1,'left demo')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Z322pP0nSPA0M+szcCSyOiA3ANmAtcFVP2a3AdES8HfjHBu+7eY59lsyx6HAsOhyLDseiY6ixiMxBU+6SpOcyr4yVpMIZ9JJUuLmeXjkn3jqho8FYLAUuA34ArKivRC7SoLHoqlsLvDgzbxxRayPXZCwi4q3AE8B5mXn1CNsbqQafkSngVVTX6izOzJtH2+HoRMRlmfmxWbZvpMFn6IijdkTvrRM6Go7F5cC9mbkFOCMiTh5pkyPScCyIiAAuHWlzI9ZkLCJiNbC3/tB/bdQ9jsocPiM3ZOYngNMK/oxcDFwxy/ZGn6FuR3PqxlsndDQZiweAE+rlBJ4aQV/j0GQsAC4EPjWSjsanyVi8HvgSQMl/2dBsLBYAL6+XT6TQz0hm3g48MktJ08/Q047m1E0rt04oxMCxyMzPAkTECfXzwyPrbrQGjkU9pbcU2A8UedRWa/IZOQO4qL525ZTMfOeIehu1JmNxPXBHRHwduLXgz8ggTcbqGUb1ZezQt04o0KB/5xXAu0fTytjNNBbrqC7Cez6ZaSxOAu7OzPcDWc9Tl26msVgNXAd8mc59s57vGuXm0Qx6b53Q0ejfWX/5+LnMPDCqxsagyVgsBc4HzgHOKnhKr8lYPAo8XC8/TIOjt+eoJmPx6szcmpkfAr4ZEWePrLtjy5xz82gGvbdO6Bg4FnWYHZeZD0TEmRGxctRNjsjAscjMWzJzG3Af8EBmljidB80+I58HjtzQaxnw4Ih6G7UmY/FY1/JuoPipm4hYEBGn9qzuHau7B77O0bwyNiLeRXW64H6q/yi/mJl/0rV9AfAeqnmm+wo/vXLQWFwHvKR+ejawKjOfHHmjIzBoLOqaCeBqqiPYP8rMfc96oQI0+N/FYuAdwL3A8bOdcvdc12AsfhZ4BfBD4EWZ+ddjafQoi4hLgA8CvwM8DvxeZr6lp+bpscrMjw58TW+BIEll88pYSSqcQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIK9/9370+azPMIzgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('left demo', loc='left', fontsize=16, color='r',family='Comic Sans MS') # 也可以直接指定"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 案例3 带图例的饼图\n",
    "## pie 分裂式饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 案例3 带图例的饼图\n",
    "## pie 分裂式饼图\n",
    "elements = ['简易箱','保鲜箱', '行李箱', '密封箱']\n",
    "colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3']\n",
    "sold_nums = [0.05, 0.45, 0.15, 0.35]\n",
    "explode = (0.1,0.1,0.1,0.1)\n",
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "\n",
    "plt.legend(wedges, elements, fontsize=12, title='占比', loc='center left', bbox_to_anchor=(0.9,0,0,0))\n",
    "\n",
    "# Set a property on an artist object.\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "plt.legend(loc='center right')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## setp 设置属性\n",
    "\n",
    "Set a property on an artist object.\n",
    "\n",
    "matplotlib supports the use of setp (\"set property\") and getp to set and get object properties, as well as to do introspection on the object. For example, to set the linestyle of a line to be dashed, you can do:\n",
    "\n",
    "```\n",
    ">>> line, = plot([1,2,3])\n",
    ">>> setp(line, linestyle='--')\n",
    "```\n",
    "\n",
    "If you want to know the valid types of arguments, you can provide the name of the property you want to set without a value:\n",
    "```\n",
    ">>> setp(line, 'linestyle')\n",
    "    linestyle: [ '-' | '--' | '-.' | ':' | 'steps' | 'None' ]\n",
    "```\n",
    "\n",
    "If you want to see all the properties that can be set, and their possible values, you can do:\n",
    "```\n",
    ">>> setp(line)\n",
    "    ... long output listing omitted\n",
    "```\n",
    "\n",
    "setp operates on a single instance or a list of instances. If you are in query mode introspecting the possible values, only the first instance in the sequence is used. When actually setting values, all the instances will be set. e.g., suppose you have a list of two lines, the following will make both lines thicker and red:\n",
    "```\n",
    ">>> x = arange(0,1.0,0.01)\n",
    ">>> y1 = sin(2*pi*x)\n",
    ">>> y2 = sin(4*pi*x)\n",
    ">>> lines = plot(x, y1, x, y2)\n",
    ">>> setp(lines, linewidth=2, color='r')\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "line = plt.plot([1,2,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array \n",
      "  alpha: float (0.0 transparent through 1.0 opaque) \n",
      "  animated: bool \n",
      "  antialiased or aa: bool \n",
      "  clip_box: a `.Bbox` instance \n",
      "  clip_on: bool \n",
      "  clip_path: [(`~matplotlib.path.Path`, `.Transform`) | `.Patch` | None] \n",
      "  color or c: any matplotlib color \n",
      "  contains: a callable function \n",
      "  dash_capstyle: ['butt' | 'round' | 'projecting'] \n",
      "  dash_joinstyle: ['miter' | 'round' | 'bevel'] \n",
      "  dashes: sequence of on/off ink in points \n",
      "  drawstyle: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] \n",
      "  figure: a `.Figure` instance \n",
      "  fillstyle: ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none'] \n",
      "  gid: an id string \n",
      "  label: object \n",
      "  linestyle or ls: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) | ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` | ``' '`` | ``''``]\n",
      "  linewidth or lw: float value in points \n",
      "  marker: :mod:`A valid marker style <matplotlib.markers>`\n",
      "  markeredgecolor or mec: any matplotlib color \n",
      "  markeredgewidth or mew: float value in points \n",
      "  markerfacecolor or mfc: any matplotlib color \n",
      "  markerfacecoloralt or mfcalt: any matplotlib color \n",
      "  markersize or ms: float \n",
      "  markevery: [None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float]\n",
      "  path_effects: `.AbstractPathEffect` \n",
      "  picker: float distance in points or callable pick function ``fn(artist, event)`` \n",
      "  pickradius: float distance in points\n",
      "  rasterized: bool or None \n",
      "  sketch_params: (scale: float, length: float, randomness: float) \n",
      "  snap: bool or None \n",
      "  solid_capstyle: ['butt' | 'round' |  'projecting'] \n",
      "  solid_joinstyle: ['miter' | 'round' | 'bevel'] \n",
      "  transform: a :class:`matplotlib.transforms.Transform` instance \n",
      "  url: a url string \n",
      "  visible: bool \n",
      "  xdata: 1D array \n",
      "  ydata: 1D array \n",
      "  zorder: float \n"
     ]
    }
   ],
   "source": [
    "plt.setp(line)  # 显示所有可以设置的属性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  linestyle: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) | ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` | ``' '`` | ``''``]\n"
     ]
    }
   ],
   "source": [
    "# 显示某属性所有的可能\n",
    "plt.setp(line, 'linestyle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "line = plt.plot([1,2,3])\n",
    "plt.setp(line, linestyle='--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 等同于\n",
    "plt.plot([1,2,3], linestyle='--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array \n",
      "  alpha: float or None \n",
      "  animated: bool \n",
      "  antialiased or aa: bool or None \n",
      "  capstyle: ['butt' | 'round' | 'projecting'] \n",
      "  center: unknown\n",
      "  clip_box: a `.Bbox` instance \n",
      "  clip_on: bool \n",
      "  clip_path: [(`~matplotlib.path.Path`, `.Transform`) | `.Patch` | None] \n",
      "  color: matplotlib color spec\n",
      "  contains: a callable function \n",
      "  edgecolor or ec: mpl color spec, None, 'none', or 'auto' \n",
      "  facecolor or fc: mpl color spec, or None for default, or 'none' for no color \n",
      "  figure: a `.Figure` instance \n",
      "  fill: bool \n",
      "  gid: an id string \n",
      "  hatch: ['/' | '\\\\' | '|' | '-' | '+' | 'x' | 'o' | 'O' | '.' | '*'] \n",
      "  joinstyle: ['miter' | 'round' | 'bevel'] \n",
      "  label: object \n",
      "  linestyle or ls: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) | ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` | ``' '`` | ``''``]\n",
      "  linewidth or lw: float or None for default \n",
      "  path_effects: `.AbstractPathEffect` \n",
      "  picker: [None | bool | float | callable] \n",
      "  radius: unknown\n",
      "  rasterized: bool or None \n",
      "  sketch_params: (scale: float, length: float, randomness: float) \n",
      "  snap: bool or None \n",
      "  theta1: unknown\n",
      "  theta2: unknown\n",
      "  transform: `.Transform` \n",
      "  url: a url string \n",
      "  visible: bool \n",
      "  width: unknown\n",
      "  zorder: float \n"
     ]
    }
   ],
   "source": [
    "plt.setp(wedges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array \n",
      "  alpha: float (0.0 transparent through 1.0 opaque) \n",
      "  animated: bool \n",
      "  backgroundcolor: any matplotlib color \n",
      "  bbox: FancyBboxPatch prop dict \n",
      "  clip_box: a :class:`matplotlib.transforms.Bbox` instance \n",
      "  clip_on: bool \n",
      "  clip_path: [ (:class:`~matplotlib.path.Path`, :class:`~matplotlib.transforms.Transform`) | :class:`~matplotlib.patches.Patch` | None ] \n",
      "  color: any matplotlib color \n",
      "  contains: a callable function \n",
      "  family or fontfamily or fontname or name: [FONTNAME | 'serif' | 'sans-serif' | 'cursive' | 'fantasy' | 'monospace' ] \n",
      "  figure: a `.Figure` instance \n",
      "  fontproperties or font_properties: a :class:`matplotlib.font_manager.FontProperties` instance \n",
      "  gid: an id string \n",
      "  horizontalalignment or ha: [ 'center' | 'right' | 'left' ] \n",
      "  label: object \n",
      "  linespacing: float (multiple of font size) \n",
      "  multialignment or ma: ['left' | 'right' | 'center' ] \n",
      "  path_effects: `.AbstractPathEffect` \n",
      "  picker: [None | bool | float | callable] \n",
      "  position: (x,y) \n",
      "  rasterized: bool or None \n",
      "  rotation: [ angle in degrees | 'vertical' | 'horizontal' ] \n",
      "  rotation_mode: [ None | \"default\" | \"anchor\" ]\n",
      "  size or fontsize: [size in points | 'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' | 'xx-large' ] \n",
      "  sketch_params: (scale: float, length: float, randomness: float) \n",
      "  snap: bool or None \n",
      "  stretch or fontstretch: [a numeric value in range 0-1000 | 'ultra-condensed' | 'extra-condensed' | 'condensed' | 'semi-condensed' | 'normal' | 'semi-expanded' | 'expanded' | 'extra-expanded' | 'ultra-expanded' ] \n",
      "  style or fontstyle: [ 'normal' | 'italic' | 'oblique'] \n",
      "  text: string or anything printable with '%s' conversion. \n",
      "  transform: `.Transform` \n",
      "  url: a url string \n",
      "  usetex: bool or None \n",
      "  variant or fontvariant: [ 'normal' | 'small-caps' ] \n",
      "  verticalalignment or va: [ 'center' | 'top' | 'bottom' | 'baseline' ] \n",
      "  visible: bool \n",
      "  weight or fontweight: [a numeric value in range 0-1000 | 'ultralight' | 'light' | 'normal' | 'regular' | 'book' | 'medium' | 'roman' | 'semibold' | 'demibold' | 'demi' | 'bold' | 'heavy' | 'extra bold' | 'black' ] \n",
      "  wrap: bool \n",
      "  x: float \n",
      "  y: float \n",
      "  zorder: float \n"
     ]
    }
   ],
   "source": [
    "plt.setp(texts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array \n",
      "  alpha: float (0.0 transparent through 1.0 opaque) \n",
      "  animated: bool \n",
      "  backgroundcolor: any matplotlib color \n",
      "  bbox: FancyBboxPatch prop dict \n",
      "  clip_box: a :class:`matplotlib.transforms.Bbox` instance \n",
      "  clip_on: bool \n",
      "  clip_path: [ (:class:`~matplotlib.path.Path`, :class:`~matplotlib.transforms.Transform`) | :class:`~matplotlib.patches.Patch` | None ] \n",
      "  color: any matplotlib color \n",
      "  contains: a callable function \n",
      "  family or fontfamily or fontname or name: [FONTNAME | 'serif' | 'sans-serif' | 'cursive' | 'fantasy' | 'monospace' ] \n",
      "  figure: a `.Figure` instance \n",
      "  fontproperties or font_properties: a :class:`matplotlib.font_manager.FontProperties` instance \n",
      "  gid: an id string \n",
      "  horizontalalignment or ha: [ 'center' | 'right' | 'left' ] \n",
      "  label: object \n",
      "  linespacing: float (multiple of font size) \n",
      "  multialignment or ma: ['left' | 'right' | 'center' ] \n",
      "  path_effects: `.AbstractPathEffect` \n",
      "  picker: [None | bool | float | callable] \n",
      "  position: (x,y) \n",
      "  rasterized: bool or None \n",
      "  rotation: [ angle in degrees | 'vertical' | 'horizontal' ] \n",
      "  rotation_mode: [ None | \"default\" | \"anchor\" ]\n",
      "  size or fontsize: [size in points | 'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' | 'xx-large' ] \n",
      "  sketch_params: (scale: float, length: float, randomness: float) \n",
      "  snap: bool or None \n",
      "  stretch or fontstretch: [a numeric value in range 0-1000 | 'ultra-condensed' | 'extra-condensed' | 'condensed' | 'semi-condensed' | 'normal' | 'semi-expanded' | 'expanded' | 'extra-expanded' | 'ultra-expanded' ] \n",
      "  style or fontstyle: [ 'normal' | 'italic' | 'oblique'] \n",
      "  text: string or anything printable with '%s' conversion. \n",
      "  transform: `.Transform` \n",
      "  url: a url string \n",
      "  usetex: bool or None \n",
      "  variant or fontvariant: [ 'normal' | 'small-caps' ] \n",
      "  verticalalignment or va: [ 'center' | 'top' | 'bottom' | 'baseline' ] \n",
      "  visible: bool \n",
      "  weight or fontweight: [a numeric value in range 0-1000 | 'ultralight' | 'light' | 'normal' | 'regular' | 'book' | 'medium' | 'roman' | 'semibold' | 'demibold' | 'demi' | 'bold' | 'heavy' | 'extra bold' | 'black' ] \n",
      "  wrap: bool \n",
      "  x: float \n",
      "  y: float \n",
      "  zorder: float \n"
     ]
    }
   ],
   "source": [
    "plt.setp(autotexts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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lRU8mlqUMMQBl+C7MYwMsXmotXiJ4tBZ64UI703jB34YEO2qH0QZ3n+3/opxFb0XiRTotcD6+cxYSuKUXCfP0xAA8n5eR/5e8jHzR6WjFKVEOw02bM4vR/rZF4Te+tOZaDnkx/zrdLDmZX6SUlXrUxAmCVpinN48A/8rLyA/ztyHBinIYQGpOSRTwETDJ37Yo/Io3Yj2B79qw9nZhnp7cCLyXl5Ef7LoTv9DrHUZqTokZ7UZxvr9tUfgViRfptEAqvgllBlvHvGDgKuDfeRn5SofWTXq1w0jNKTEA+cDl/rZF4XfWWnMtpV7M97gr32n4FLgtpazUo8yUEBTm6ck1wMK8jPzTi2MU7ejVDgN4GaWzUGh4s7sA/R1GKHTMC3RuAN5ypxorukCvTatNzSnJBl7xtx2KgGGUNdeyx5OJZSlDzgHW6mhLUHbMEwbof24iydP6YowInnuwMcxQb4oyHfXT5aUQotrpdL7ucrn+Nm3atIAuZ9IrY3ipOSWT0RofKRQAGzx1Fm70zI6qAuZ54Sz8JswbmTmYgWcmkxiXiFEYESJoMlijI/qE18X2jznQ0xeWUtLc3Gw+ePDggzU1NVPR+nwELN36GCCEGCuEGC6EMJ/w/Em16IUQ1wghTmouJIQYc5r157f5froQYm537OsKqTklfYB38aD+jiJkCZRwVFB3zOszLJqk+CRMBlMwOQsAmmpsyQ3HGvv19HWFEISHh9uHDRtWDczq6et3l+7uGy9x//tLIcSDQoiHhBCPAXd3MPZcwA4ghLhKCDHA7Wju7GhhIcR5wJdtnpoCfCGEGHw6J+MBr6K0For2eKxvKEsZMgl9fp+CX5gnCDpH0Zb6ioZhtrrmbnVJ1AuDwSCBgD+A73JIyr1bcEkp9woh6qSUL7ifHwf0O2Hs1Wh9I94WQvwZTRD3ELAFrVT4iWsL4E9AnBDCBHwOzEBzLsvQ6jrt7P7ba09qTsn9wPXerqMIKTZbcy3e/G7pFY5SwrwAoPaHupFGc5+tpnDT6ZuX9FK6s8P4GdphHGgHNbFCiJFo26jG44PcjmUY8D9oaYF7gbPQttvXArcIIU7sw3sb8Kh7zo+Bb9B0Ef8H5Espl3TvbZ2Mu7XqSc5K0evxphQI6OMwvBXmzaUXCPNsnTSg8oTm5vZnzFJKY/Wh2tEup8sAcOjQIZPTXaa+qakpeLdPOtElhyGEGAXUA8cL9RvQwlD3AVbaf/q/Hc1BvAxEAU8C36HpHVZKKZ+RUha3Wbsv2s5DoO1KaoE1UsomtBxyrwV17nOLdwBVEkBxIt70vjgLGO/l9ZUwr4usWrMK6zpry2PHCS1vl3/+Cda1X1G0pJCnX3gKZ5t+JG1Z/PFiVqzSIn9vvP36Sa+7HK6IdSvXjWxqahLbtm0L+/zzz6O++uqryMWLF/d6PUunISkhhBE4G/gYGOQOH+UDZ6Idrp0DXCaEOAAsQeslEId2qLwFaAIuRXMik4UQSWi7huM1eyrRqkleDExA24lcJ4RY5Z47Vof3+QQwUod1FKHFVmuuxZsDZm8Pu/US5sV4aUfAsvSTJRytOIrNZiMyIpLv93/Pl6tXkdw/GaPByHUZ12Nyt8Ld/f1uLrtoDhPOmEBdXR3GExpWbd+5nU3fbcJsMnHFnCsASEhI6PC6A5NS4p575rlh02dOPxwdHS2rqqoM6enpNQ0NDSIqKqp3ahHo+hlGIZqDEMADaDf5W9BKOZdIKcvbjG1wO5n+aDuPoVLKJUKIlcB1Uso3Tlg7GZgL3AUskFJ+IoS43m3bPrTwlsek5pScQ++s0KnoHH+Go5Qwrwtcfuk8bDYbpWX72bJ9CxfMvIDhQ0dwtOIIkyZMxmBoDZIk9UtixLAR1NTWUN9Qf9Ja48aMY9CAQSz5ZAnrNqzj8NHDfL3xa5wOJ/vL9vPoQ78CYO/+vVjXfkViTN/Ep59+2jRr1qzqpKQkR15eXvjUqVMbZ8yY0XjS4r2ETh2GlNIJ4D6MbpJSviCEuAJ4yT1/LvDWCdOGoW2RLwBihRAPuh9PEULEo515/ENK6ZJSlgshmoB/aZcRl6HtLBxoDspjrYi79McrKEW7omO8CUeNBSZ6OL0UTWtR7cnkXtIxr4X/+9uzjB8znp17dhIVGUVFZQVbt29lytlT241raGjg7XcXEhcXzzlTzjlpnaIlhaz5eg0RERGMGTmamOgYpk2exvUZN/D2uwtbxg0fOpxBAwbx9nsLRfrcjPBxk8bWl5WVhQ0ZMsTem50FdO9mbAKcQogRaDf/79DCRTYhxBQp5YY2Y1+QUn7jDl+dBWwFIulghyGEmI3WYvIQUC+lXC+EmAQslFJKIcSlnr45IBuY5sV8Reiyy5pr2eTFfE93F0ErzPMXo0aMon+//iT1SyImOoYvrF8welRrJvP3+77HaDQy8cyJ1NXX4XQ5qais4Pm857nq8qsYMWwEAOnzMtiybQt2h519pfuIj0ugsrKS1V+vpq6+rmW9Pfv2sHff99x8fRZFSwojzhx5VtzFF198qLCwMPbIkSPGpKSkjg9HegHdcRhmtJaHfaSUhUKIiUCzlPK/Qoj3hBDvA4vQQkzjhRDTgR/QDrqdp8nP3iKlrBBCzANq3M9dDaQJIZqBrzx4X8f7W/zOk7mKXoG34ShPzi9sQEawCvP8xbFjx9i5eydjR41l9dereSj7Z1jXtd4WJJIlHy9m9swLKD9cTrPdzpyL5tDY1ES/xNaM/w3frGfWjFk02+2MHjGaz774lOraagb0H8DEG29pGVdRWYHdbmfxx8V8/uXn1DfUD4yIC8eFq9lgMHDVVVfV9uh/QADRHYcRBjRIKZe7H8eghY6QUrZ82nLvGDZKKXecML8PrVlWLUgpK9zfJgP7hRAGtBTBN907DE8ryf6GE/QhCkUbvAlHjQCmdjqwPceFeZ97el2/C/P8REJCAkaTiejoaJqbm+nXt/2fdWR4JGNGjaFvQiJxcfHU1dWSmJBIY1MjsbFaYpPdbudYdRVnjT+LbTu2MXTwUG790W0s+s8ihg1pf0w6YugIxo8ez5YdW7gj6w4S4hNFY3NjwvlzZmwJZmGiHnQ5ti+lXAGsaPP4Kzr49C+lfKcDZ4GU8iBaauup1n8D2Ok+13hDuqsiSimXdtXG46TmlIwCHuzuPEWvYa8117LOi/mehKOUMM9DXC7JlIlTmHTWZP7y+2eoqqqibc1Ul3RRsryED5d+SFJiPyoqK8h/ZwFSypbD72Z7MxfPuhi73Y7B0HrTd56QmgvQr28/Ko5VcKj8IJMmTGbo4KF8++3myB8OHO7r8zcb4HTrQPn4AfipHndh/mmVN1JKvSo1/hqluVCcmg+8nN9dh6GEeR7icrmICA9n6qTWDV11bTX7Sve2PE4ZmMLjj+YQHaWVtBsxfCQx0e0zjY+/ZhAGYmNa5RRts6yOs27DOppsjWSmXd3y3Lw5V3D7HT8ZdvmV80RW1s3H+vbt2yvPMUKuvHlqTkk/tCwUVVxQcSpmWnMtHp2NlaUMGYKW7t3V2MS/gR97obWYglYqJ+C1FlN+MY4RKcEtd6pvqMdoNBIR3vHtIyIuojw2KdqjhIXO2LRpU79JkyYN98XaehGK6abZKGehODUH0KoTeMq1dN1ZKGFekBEdFX1KZwHQVNOU7Gh29troRUg5DHd/7vv9bcep2FeSR+W2LzsfqDOV21b1+DUDmA+suRZvttVdDUcpYV4oIhH1FQ0p/jbDX4RaA6UbgYH+NqIjGo+WUvHtZ8QO07ReUkrW/flaDMbWH0Hs0LMYe2NOl9ar2rmWii0rMMckYjCFM/jCmwGo3r2e2tLvEAYDKRfcjL2hBntdlf5vKHjxJjtqEF3TPyhhXgjTXN+c4Gh2lpnCjAHdHc8XhJrDeNjfBpyKiu9WEDeqVUPoam5k2Ny76T91XrfXaq6tYN+yPCZmv4zBFMb3i1/k6Def0O/sSylfW8jYG/+X/cv+jq2qnKpd6+h71oV6vpVgphytVL6nXEPn4SglzAt9ROOxxuTY5JjSzoeGFiETkkrNKZlFgKq6j+1YTfyY6e1uNU5bA6ZIz4pfHtm4jLhR0zCYtFBqwrgZlK8pBMBltyGEwGAOp7nuGI6mOo+vE4L8x5prcXkxvzOxnhLm9RKa6pr7uRyugG94pDch4zCAe/1tQEe4HM00Ht5LzKD2RXedtgZsx8rZ89Fz7C54mp3vP4mjsWsC0tp9m9utF5U8gvpDu3A57ZhjEnE5mrHXV2GvryJ2yARd30+Q4004qj8w+zRD9BDmPUYvFOb1NJ+s+G+70uhFSwpPOXbL9i0t3zc2NbL/wH6KlxWDlIaGqsb+Hc2ZP39+y7nTp59+GvXBBx/4pYufLwiJkFRqTokRuMLfdnTEkY3LSJpiOel5l9OBvaGGkVf+DIDDG5ZSuvwNRqR1rjdsrqvEFBXX8tgUEQPShaOhhiGX3M6RjR8TP/ocmo4eIPHMWZSvLiBmyJknOa1exlHaCE894GpO30JTD2HeE57OD1SaL5zs0/XDVmzs1niXy8XXm77mkgsuZe/+vfTr248N32wgNqYP+0r3MuXsKUya0GrzF1+t5Ks1XyKlJDIykqS+SWz6diNpc9NoqrH1j06MKhcG0ZJEsXz58uhZs2a1FKZat25d1L333lu5e/duc0NDg2HixIlB3ckvJBwGWpOljgvb+5Hm2gqEwYg5Ov6k16IHjCR6QGvOet+zLqJsRT5dEahLh512Ulf39wZTGKbIWJLPScPRVI+jsZayFQsZmf5z9nz4V2IyHvH6PQUxBdZcizdiq9NlRylhXpCw6IN/ExsTyy9/+wtSz51BVVUVs2fMZvOWb7j/rgdO6qFhNBqJje1DbV0tFZUVTJ96Hnv37wVAuqSpqdaWEBkXUQmaM5o/f35KbW2t8ec//7lITU2t+/rrr6PfeuutpIsvvrh61qxZdcphBAYntnwNCGr3bQa0XQZAU+VBavZuRLocJIw5DyldGMMiATCGReCyd+13yRybiKOpNXzlaKpDuJ3FcSq3fkHiGbOo3PoFwmBEOppxNNVjiojW6+0FG96EoxKBi07xsuqYFyQcOHiApH5JJCYkMvfiuTidLmrraomKimJf6T5eW/Aq9/wk+6R5V1w2j+joGKqqq9i+aztRUVEtr9nqmhOPO4wXX3yx71NPPXWgqqrKOGjQIPuKFStiXnnlldIFCxYkTJ8+vWHKlClNPfdufUOoOIwr/W1AR/SdcFG7xzX7vqHP8Mkkjp/J/v/+E6etviUE5WxuxBTVtVBn7OAzqT+4g34TLwGgoXw3sYPPbDfG6T7sblHyGwxIRzPQKx1GJfCJF/Mz6fhvRQnzgojw8HDOGj+BXd/vRAjB5i3f4HS5GJoyhDkXz2Xpf5ecNCcqMoo/PPMH7HY7M6fPJKlff2alzqahsYGI8AjsjfY+LofLePjoYSZOnNjocrloamoyxMXFuWbOnFkfFRUlr7vuuuq33norIRQcRtAfeqfmlAxH6wYYVIQnJBM9YFTL48otK+l71kUtj0s/fZPq7zuOz/afNo+qXetwObQ08MqtX5A8/aqW1+sO7iB6kJbCb3Y7Iel0dNkhhSBF1lzLyVXmuk5H4SglzAsykvomUbikgAlnTGRf6X7i4+Jx2O18uPRDBg8aTEeVaM87N5Udu7YzddJUKo9VYl33FYs/Luanj9zLhm82AIimWltC//79nRMmTLDt378/bO3atVFbt24Nf+mll5JefvnlxKKioj47duwI7/E37AOC3mEQoLuLtjia6jm8fgm1+77l8PolVO3+mv5Tr0AiObjqHQ59+R6NR/YxaNaNLXOqd6+n8ci+DtcLjx/AMMu9fP/Rc+xb9nfC45NJHH9+y+sN5bvpM0zLjup71kWUfb6Q2KETEIZelwV4HG/CUfFoPenbooR5QYrZZCYhPoFN325k2JBhzJoxm1EjR3c4ds36Naz5eg2//vljbPp2EzdcfSNNTU3cd+f9jB01lmmTtSx+W11z4oEDB0yLFi2Kf+GFF5IHDhxoz8jIqJVS4nA4xMiRI239+/f35gNLwBAKIamAPL9oiykimv5T550k0kuedmrTJ9z13GnXjB99DvGjT25DCbS7TsK4VBLGpXbD2pAodqf+AAAgAElEQVSjBvjYi/lX0b7ysRLmhQAGg4F1G9YxZPCQDl9fs34N0VHRXHLBJTz/ynP89peP8/SLT/HI/b/k8NHDDBwwqGWsw+aITRmWIiIiIlzXX399pZSSgoKC2IiICGkymaTL5cLhcIREI41QcBjT/W2AIqD50Jpr8aaEQ9twlBLmhQgVxyqICI/gm+++IWXgyaWhpk+dzopVK1j99Wrm/+Ixnnvlr9x/5/3E9YnjtQWvcm16+yjl0sUlSePHj6+qq6uzx8TEuGbNmtWwYcOGqHvvvbfSYDCwbNmykIgHB7XDSM0pSQIS/W2HIqDxJhwVC8x1P1TCPA/ork7C1xxPArntR7cxcrh2hrhn724qj1W2G3fg4AGGDh7K4EEpvL7wn9x35/1s2fYdERGRVNdUEx/XPlX+jNFnhI08a0TDO++80ycuLs4J8NFHH8WXlJTEmc1mOX369DpCgGA/wxjvbwMUAU0d2sGyp1xJa6l8JcwLAWrrtHT0484CYMSwkbz5rzcID289l05MSGTHru0cLD/IA3c/SHxcPJPPnkL2z+/h+swbTlo3Ljo+GqC8vNxsNpul0+nktttuO/rll1/uWLly5c4ZM2bU+/q99QRB3UApNafkbuDv/rZDEbAssuZafuTp5LKUIe+jFRx8NqWs1GPVo1uY9xEhrrUIhgZKNputnWM41Wsul6vDbnz1DfUt3ftOJHF4wiajyeBoamoSERER3b6xqgZKvkftMBSn431PJ5alDIkCLkcJ80KKUzmLE1/ryFkAp3QWAPYGewyAJ84iWAh2h6HSEhWnogFNFOcpVwCrUcI8RRexN9lD/ucc7A5D7TAUp2KpNdfiTdx4LEqYp+gGTrsr5FtDB63DSM0pMQDD/W2HImDxODvKzUtKmKfoDk6HMyTU3KcjaB0GEM7py00rei82tENmj/HCWRiBf6GEeb0Ol8MV1vmo4CaYHYY6RFScimXWXEvXulHpzwtAhp+urfAnEoPT7gzp+1IwC/dC+gej8Apvw1Ee4Rbm/dQf1w5Urlqwzqfrf3hLx+VxOmP397swm8MYmDwQs7n1VtJR2uxHJR9x6YWXEhkR2e75PXt3t9NzADjtzjCj2WifP3/+gCeffLIctK57x44dM11zzTU1HhkbQKgdhiLUaEY7P+hRlDAvuFj51UoAXn7tJV596x/8482/89e//R/5ixacNHbj5g2YTdrtpuSTpfxw5AfsdjsL31140lin3RXeUde9OXPm1O3evdu8efPmoD7nCOYdRsjHCxUesciaa6nqyQuqjnnBRWNTIwaDgaGDhxIdFc1dt94NwK49O6k4oURI8bJibM027v1FNg/e8yAXz76Ef7z1d8aNHse9d5y8mXQ6nIZQ7roXzA5D7TAUJ7IKuKcnL6iEecHHP978O2eNPwsAIQR1dbUcraxg9dermXjmxJZxjU2NHCgr5X9/lctb/36TISlD2b5zG+Fh4XxU8hE7du9gzMgxzLl4bsucf77xz5hQ7rqnHIYiVNgGpFtzLT32B9mbhXm7Krazt2oPAkFZTSkXj5zLFMYhJZTW7EUQmNW8v9/3PVGRURjcvWFcLhcL3llA+eFybrr2xwxuU7n2X+//i+27tvFozv8wasQonnjm9zz5+J8ZMngoMdEx/Ojam9qtXXmskjPPONMZyl33gtlhBPV/vEJXDgGXW3MtlZ2O1IneLsx7Y0MeuZc8hdFgorqpimdWPUE6c5G4SIjoS2z48f7yR/xqZ1ucTidbtm/hwvMvovzwIaSUXJdxPdt3bWfJfxezcfNGPl+1goEDBnHphZeSNucKamtraLI1MW70OMLDI1j51eds27mNb7d+y9HKo1yfcT3J/bVfgYT4BCLjIhyffrU8bPPmzZERERGud955J2Hjxo11kZGRMhS67gWzwygDXAT3wb3Ce2qBK6y5lo7bE/qOWGBQp6NClHNSUml22ok0mIiLiKfJ0QiAS7owisD9k5x32Ty279qOlPDagleJj4vn3cJ3GZg8kItnX0xyUnLL2KjIKJxOJ0crjjJi+EgOHDzApRdexnnnpPLR0g9P2mEcPnqYz6zLI99Y+Eafm266qSIjI6N20aJFCe6ue0179+7t1rmrEOIm4D0ppf00Y+KBc6WUH7d57nygXkrZYW15IcR8KeWT7u+nA/FSymVdsSlwf7KdYM212IEf/G2Hwq/YgWusuZYeb7qQXZi1F/hFT183UMg84wYizVqa6eYfNjJ5gNauVEoXdpeDioajHG0InN0FgNFoxGAw4HA4CA8P565b7yY+Lp47br6DORfP5bMvPjtpzoGDpTQ1NWFd8xV19XW8+tY/WLDoLT7/6nPyXn+FN//1Bi6XC4DkpGQiwiPxpuueEGKK+99ItHpo9wkhzhdCXCmEeFgIMbfteCllFTDlhGVqgWQ6QAhxHvBlm6emAF8IIQYLIcZ0Zl8w7zAA9gMD/W2Ewi9I4A5rruW//jIguzDr1byM/EyCoE2wL6iz1fKfrYuobKzgnnMeBLQfiks66RvVzz3Ktxs/m8NGuKl7kR6n04HRYGRf6T7sDjvjxoxnz/e7CQ9LZPN33zDxrLNbxt55y92cNf4spJRs27mNsaPG0tjU2OEOw7r2K0aPHm0f7Epp9KLr3t+EEIOBRuCY+2sGUInWm+UfbQcLISKAOCHEVcASKaUDLfJyUiaWEEIAf3KPNwGfu9e+E1iGljSy83TGBbvDKAXO87cRCr/wmDXXku9vI4C7gG+Bvv42pKeJCY/llsl3caT+MK+s/SszeJMwYxhhka1NMAuzpnKwpozBcR33zm5LWc0BEiMTiTRHAeCSktLqvQzuMxTj8UNq6aK+uR6bs4m+kf2oaDxKuCmpW3bbHQ6OHauktq6WeZddwZbtWzCbw7jw/Au544HbudJyJZlpV3Pk6GF27dnJhm/Wk9Q3idRzZ2A0nroa0djR4xgyenDTRx9/aPCk615zc3M48CxQ4H7qFuBN4HHgj2iho5aCmkKIO9FCo+HA9hOWGyyEmCWl/KLNc7cBjwJ90KIzM9FK918NbJBSbjv9/1zwO4z9/jZA4RdesuZa/uRvIwCyC7PK8zLyfwq8429b/EVSdH+SYwbR7LThkhKQGNznGAZhQOLq0jpGgxGXbB3rkk4EosVZADTY64kyR9Fgr0cIgZQSl3S1XK8r2JubiYyMZPaMCwBN3X28F8Y/X3y9ZZx1nZUJZ0xg1IjR7ebX1dVi6MBxJCYkIgzCUV5ebh45cmTz8a57DzzwQIXBYOC999477Q4jLCzMBnyB1nZ6DFro6G5gEVpyxQVCiPeklA3uKfnAJOAnaH3idwghRqF9eKkCNh9fWwjRF9gCCDQHUwuskVI2CSEWo/Wu79RhBO0ZhptSfxug6HH+AzzkbyPakl2Y9S5awcFeQbOzmf/78kka7Q0tz4UZwpBSUt10jGONrclq2iF412qEhhvDsTlbIyl2Z/NJ4SaXdLVzIAJBd7uGzjzvfGZOP7/l8blTzuXcKeeeNC7jisyTnAXAgOSBZMzruFyYwWSwP/TQQxUTJkywGY1GHnrooYrjzZiuu+66zkqDCOAmKWW5+/s/AivQbvRTgCVAKoAQ4kogGxgNbAD+4h73PPA2mjPY1GbtSrRw02DgHPe8bCFEFjAHrZx/pwS7w+jpzBiFf1kF/Niaa+naR9ae5X7goL+N6AmanTb2HNuF0aAFKKSU7K3aTZgxDJPBTJix9SbfYK8nKqy1NlNV0zGa7I0drhsb3ocme2OLA2iw1xMb3vqh3Oawtax9PBNLttnNdIcTQ0unCzV1xKk69xlNBjt41nVPSimAYiHEOcB0tFBUBvAicCtQI6Vc7h77EfAS2q7gTLQPUc3A06dYPhm4CngYOCSl/ATNKZnQ7qOHu2JjsIek1vjbAEWP0ePCvO6QXZh1LC8j/060T4EhTUxYLPec8yBLdxYRZY6muqmKK8ddg0EYiAmLpa65luqmKkDgkk7iIxJa5jbaGzEIIxFEnrSuyWAiIbIvFY1HMQojRoOZKHOrs2l2NrfoO6LCYqhqqiLcFIF2lhsYGMzGU6bAdobbUZ4D/CCl/Is7I2qzlPJJIUSylLJl+yWEMKMVurQB64F8KaUUQjyFFtI6ce1yIUQT2k5YCCEuQ9OyOWh1HJ2/P0/fXCBgzbWUAbv8bYfC5/hEmJdekGZIL0i7T6/1sguzlgJ5eq0XyExMnkz6+Ou4bNQ8rj3rJsYnHS+1AbHhscRFxBMXEUdCZGK7G/rA2EH0CT91KD/SHEm/qCQSIhOJj4hv91qrGBCizFHER8Sfdq2exmA0NBsMwpvdr5BS5tOaEnsQLVsK4KfuzCYApJR2KeXzwHK07KkMIcRMKWWHu1whxGy0e+W3wDop5X/RQvoLpZRr6KIvCGqH4eZTfxug8Cm+FOb9FXgpvSDtNh3XfATYreN6iiDBGGZs6HzUqTEYDE73t8e3ZGYg0a2PiHWnzCI0HhZC5ADz0M4mFkspvxRCZAIjODmtdouUcj1aGZvj17ka+EQIsZQuFnNVDkMRyPhMmJdekPYo8KD74XPpBWmd5312gezCrHq09MVAPGdR+BBTuHcOA1q0ErcJIdaifaC5DfgdbUrQSC12lSelzJVSPi+l/ExKebz3/EfAzZyQZiulrHB/mww4hBAGtArLl0opLwdWd8U+5TAUgYrPhHnpBWk/RhMwHScOeD29IE2XYHh2YdYqtKwVRQDzyYru/Wqt37SerTu2nvJ1U7ip5TR//vz5LTf4Tz/9NOqDDz7oUuzM7QxmSinPlVJeKKW8Ukp5Eyc05pJSdpg54N6F/FhK2WH4Vkr5BrBTSumSUr7hvh5SyqVdsS/YD72x5lrKU3NKtgHj/W2LQld8IsxLL0i7FHgdTiqneinwAFqLVT14HC1cMLGzgaHMnd/e6tP1X5vwlkfzVn+9ml17dnHetPP4aFkxRyuO4HA4WvpjdHSQHhERwZGjRzhj7BnYbDYamxqJj2s9ZzGFmxoAOmqgdO+991bu3r3b3NDQYOisH0ab3ULb57rcrU9KedrdbUfrd5WgdxhuPkM5jFDCJ8K89IK0ScAHnDpe++f0grRlRZnFJ6pmu012YZbN3YVvDaoUf0CxdcdWjlYc5e7b7sFgMDBz+kyGpAzp0Eks/ngxZQcPYDabWba8BCEEe/d/j8FgYOSwkcw8T9NzCINwmMKMzS6Xi1BuoBQKISnoBamMvQifCPPSC9KGovWuOF1oIBJ4M70grXtJ+acguzBrI5Crx1oKfThw8AC1dbWkzU3j2ZeewWazMXTwUIQQuFwu9u7fy6ZvW4/MrphzBXffdg8Oh4MrLVdx1633IITgpmt/3OIsAMyR5hqAF198se9TTz114MknnzywcOHCPWeffXbD2rVrtz3wwAM/3H777ZU33HBDUPf1DpUdxmKgnF7amyCE8IkwL70gLQGtd0VXypGfB8wH/qDT5f8EXIlboavwL4MHDWbwoMEs/ngxkyZMYuF7C5EuF41NjRyrOsaMc2cwILm1nqnNZiP/3Xwsl17Ozt07GDRgEKNGjOIPf/k9V1qu4oxxZxAVGUVYlLmqvLzcOHHixEbVQCnAseZaHKk5Ja+j/aErghOfCPPSC9IigCLgjG5Mezy9IK24KLN4g7fXzy7McuZl5N+GVr4hytv1FN6zfOVyFn9czItPvdTynJSSF/7+PJddNKfluS3bt7D/wD4umHEBRUsKMRlNfLX2K77b+i0vPPUSiz8uprqmiksuuFSGx4TV9I/t7zQajbbFixfHhmoDpVAJSYGWItZtOb4iIPCZMA+tQNusbk41A2+lF6Tp8geeXZi1A/iVHmspvOPTlZ/Sv19/ppw9td3zQgiio6LbPZcyMIXLL53HmFFjuP+uB5g+bTrDhgzjrVfy6ZvYlxsyb+SSCy7FFG6qNxgNzgMHDpgWLVoU/8ILLyQPHDjQnpGRUSulxN1Ayda/f39HT75XXxASOwwAa65lT2pOyXK0bBdF8OBrYd61Hs6dAPwerRy0HryEVhfoMp3WU3QTh8PBlLOnEB8Xz+p11k7HN9maWPLBEmpraxBCcKz6GGUHy2i225EuFwaDgWvTr2NAQnIVwNChQx0REREubxooBToh4zDc/B3lMIKJnhLmecoj6QVpRUWZxV90PvT0ZBdmybyM/NvRSjPEebueovuYTKaWNNiuVLhNTkrmwpkX0j+pf0txwufznuOOm+9oNy48JqwKYOnSpTHjx4+31dXV2b1ooBTQhJrDKACOAv06G6jwOz0pzPMUA1rW1KSizOLTNr/pCtmFWQfyMvIfQmuK0yvwVCfha463VQXYtnMbcbFxHC9D3paBA7QD8HUb1jFm1BiiItsfQ5nCTbWmcJMNYPLkyY0DBgxwvvPOO308aaAUDITSGQbWXEsz8Ia/7VB0iZ4W5nnKSOAZndYiuzDrLbTUYYUfqatvvXePHzOeV974G8OHjjjl+OFDh/PQrx9k2uRp7Z6PiAtvaVw+YMAAJ0B5ebnZbDbL4w2Uvvzyyx0rV67cOWPGjHqCHNHd5iOBTmpOySC0qown109WBAovWXMtD+i9qFuY9zmn11p4yhVFmcW66H3yMvKT0EJT/fVYL1CY8otxjEgZ6W8zuoTNZmvX08LhcGAwGDrcZRynrq6WmJjWirnCIOx9RyRsFkKcdBNtamoS3e2JsWnTpn6TJk0a3p05PU1I7TAArLmWg8DL/rZDcUr8KczzhlfTC9JO6jPgCdmFWUeAe/RYS+EZJzZAMplMp3UWQDtnARARG360I2cBnjVQCgZCzmG4+RNa9o0isAgEYZ6nDELLdNKF7MKsQnrRWUYoEhkXcdTfNvQ0IekwrLmWo8Cz/rZD0Y5AEuZ5yo/SC9Ju1HG9h4D9Oq6n6CHCoszHjGFGj4v4BSsh6TDcPE0v6bEcBASaMM8bXk4vSBvY+bDOyS7MqgFuRwlOg47ovlFl/rbBH4Ssw7DmWupRpUICgVpgXgAK8zwlEa2qgC5kF2YtR7+S6ooeIDwm7OjxVNreRsg6DDcLgLX+NqIXc1yYt0nvhXUS5nnKFekFaXfruN6vOaFDmiJgkdGJUYf8bYS/CLm02hNJzSmZClhRPQl6Ggnc6iOtxY/RQlH+LLVQB5xdlFn8vR6L5WXkTwe+BHQpre4POkqr/eAR33YeuOaZeR7P/eDD97nq8nTM5lPfGqprqtnwzQYumnURAOGx4Yetm76sjImJcc2cObPDrnfz588f8OSTT5aD1m3v2LFjpmuuuabTsuYqrTYAsOZa1qN1P1P0LMEizPOUGDQVuC5/Q9mFWWuAJ/VYS3FqNn/3DQCNTY1ERkby+sJ/svrr1SxbXkLe66/w6cr2HZ/j+sSxeYs2ByFc0X0jD8XFxbkOHTrUoZfpqNvenDlz6nbv3m3evHlz0FerDbXSIKfiKbR2mRf425Begr865vU0s4FfoF//7t8BVwBTOxuo8IxHc/6Hg+UHiYiIID4unrg+8azbuJb4uARsNhtZN97SbnyTrYnaulpKPlnKlZlXlhlNRofBYDCFh4efFJoJ9W570EschjXX4krNKbkF+AZV+M3X+FKYtwTfCfM85Q/pBWlLijKLv/N2oezCLLu7revXQNB/Gg00Vn+9mnvv+CnzLrsCgHcL3+HGq3/EX158mod/+nOqa6rblThf+G4+dXV12JptjBk7tiEqIfLw8df2799vLikpibFYLC27iePd9qqqqoyDBg2yr1ixIuaVV14pXbBgQcL06dMbgr15EvSCkNRxrLmW/cD9/rYjxPG1ME+XdFadCUfrnaHLGVl2YdZ3wG/0WEvRnnMmn8N5087jWPUx1m/6mnOnTGfBorfITLuaw0cO89kXn9HQ2NAy/rr06zl36nQaGxv58OPC2kWLFsXn5OQkv/nmm30PHjxo7tOnj/P42M667X322WcxfnnTOtNrHAaANdeyEPiXv+0IUUJBmOcpU4Hf6rjes8BKHddToJU0/+CjD0hOSkZKyRPP/oGZ089n3OhxbN6ymUsvuJSvN64DYNnyEt7695t8v28PEyZOqM79fe6BSZMmNT722GOHb7vttorU1NSGGTNmtBx69+/f3zlhwgTb/v37w9auXRu1devW8Jdeeinp5ZdfTiwqKuoTCt32oJc5DDf3odS1ehNKwjxPmZ9ekDZdj4WyC7NcwG1omVgKnWhqamTORXPZuHkD679Zz69+9muWfrKEX+f+incKFhEbE8vsGdox59xLLNyRdSdjxoy1bdn5ne2JJ57oHx4eLn/6058O7mjt3tBtD3qhw7DmWqqA64EOU+IU3SbUhHmeYkILTelSJTm7MOt74BE91lJoOJxONn67garqau6/6wF+OPwDZ4w9gz//71M8/bu/tCtIaLfb+Wf+a3L9d+uOTZ06tf43v/nN4XHjxjU//vjj5R2t3Ru67UEvOfQ+EWuuZU1qTsmPgffphU5TR0JVmOcp49AKX/5Mj8WyC7P+npeRn4GWORWUeKOT0Bu7w871GTfwbuE7AAxIHsCRo1o7izfefp1f3PcIJpN2SzSbzfzs5z87sKdsd/WyZctiFy5cGD9gwAD7nDlz6o8cOXKSVqY3dNuDXnyztOZaCtDpD7uX4suOeTejT8c8f/BgekHaJTqudxega6ivt5LUNwmA6upqABx2O1XVx9izdzd19XUtzkJKyStvvtzw+BO/NRYWFsaNGzfOdv3111fPmTOnfsGCBfE7d+4Mj4iIaJfYMXny5MZZs2Y11NTUGIxGowSt297MmTPHzp49e0xzc3NI7DBCXundGak5Jc+g5dIrusd8H2ktLkVLnw1mZf5+YGJRZnGn6t6ukJeR/yOCIFkjGBooSSmZe81lCCGIjIgkJjqGmOgYhMHAK8/mAWAwGZrC+pq2xcbGOk+cb7fbufrqq0e+9tpr+5KTk096/fnnn+87c+bM+ilTpjS99NJLfR944IEKg8HAe++91+e666477e9DMCi9lcPIKRHAIrRzDUXXeNGaa9E9XOTjjnk9zZtFmcU/0WuxvIz8fwN6llbXnWBwGADNzc2EhbXXftbW1hIbGwtCuOIH99lqDjedMtvP6XRiNJ66gosn3fYgOBxGrw1JHceaa5HALcAX/rYlSPgAH4TyAliY5ym3pRekZei43n1o2WgKLznRWQCaswBi+kXtPZ2zAE7rLCB0u+2BchgAWHMtNiADTUugODWrgJt7mTDPG/6eXpCWpMdC2YVZlcCdeqzlM6QW8glWohIiD0TGRRzzx7VdLpcATgpxBRrKYbhxawguQisfojiZ3izM85T+QJ5ei2UXZi0B/qHXenpTs6+eI1VHcLgcQec4IvqE/xDdN+qHnr6ulBKbzWbet29fPEEQ5ej1ZxgnkppTkgAUAzP8bUsAcQiYobfWwi3Me4fg0Vp4ym1FmcVv6bFQXkZ+DLAJCLjDAmGA/ucmkjytL8Zwg//rCXcRY5ih3hRl8ld/bpcQotrpdL7hcrn+Nm3atIBu+6ocRgek5pREAwXAZf62JQCoBWb7SGvxPMGntfCEarSsqVI9FsvLyJ8NfIaKEOjBYiAjuzArJJTYvkb9wnWAu73rlWhOozejhHn6EAf8M70gTZfP3NmFWSvR6k0pvMMKXK+cRddRDuMUuA/CrwPe9LctfkIJ8/TlMvStlvwbwOuS6r2YLwFLdmFWQ6cjFS2okFQnuHUaf8UHPR4CnF9bcy1/1nvREBHmeUoDMKUos3iHHovlZeRPAVbTO/8vveEz4KrswixV3LGbKIfRRVJzSh4GnqZ31N9SwjzfsRo4vyizWJcUyryM/N+idepTdI0lwLXZhVmq+KgHqJBUF7HmWv4KXAJ0WK0yhFDCPN9yHvBrHdf7I7BGx/VCmbfRDriVs/AQtcPoJqk5JQPRUkGDoUdDd1kFXOYDrUWCe+1Q1Fp4gh2YXpRZvFGPxfIy8scBGwBdSquHKM8DD2cXZqkbnhcoh+EBqTklJuAvhFa1223A+T5oghQBfExoOlhv2AycW5RZbNNjsbyM/IeA5/RYK8SwAz/LLsz6m78NCQVUSMoDrLkWhzXX8jBwE1Dvb3t0QHXM63kmou/ZwwvAch3XCwWOAnOUs9AP5TC8wJpr+TdaTFqXrBc/UYPvOuY9R+iruL3hl+kFaefrsZA71HI72s9ToZX4OTe7MGuFvw0JJZTD8BJrruU7YCraJ7xgi+/ZgWt9KMx7QO91AQ6uOkT19/65Lx6y6przYADeTC9Ii9ZjsezCrP2EVpjUUz4AZmYXZu31tyGhhjrD0JHUnJJZwGvAWH/b0gUkcKs115Kv98JuYd4CdK4mVF/ewOH1h9n61nbOf3IGcSO0hCspJUtv/hhhar1c4hmJTJ8/rUvr/vD1YQ6uOkREQjjGMCNjbxwDwJGNR6jcdgxhEIy9YQzNNc0c/PIQwy8fpufbAsgryiy+V7fFMvIL0Kov9zYcwP8Cf1SH275BOQydSc0piQBygUeA0xfO9y9BK8xb9f++YsJdZ7U4DEejg7KVBxk2d2i312qqbOLLx1dz4bOzMIYZ2Zz3LQnjEhh8UQpr/riOc+dP47vXtzLyyuEcXn+EQecPJCz25H4KOjCvKLN4qR4L5WXk9we+BXQprR4k7AFuzi7MsvrbkFBGhaR0xpprabLmWn4FpKJlwgQiL/rIWUxCCwf4VHksRPuNi73BgTnWs0vu/+QA/ScnYQzTfHvyecl8X7wXAKfNiRACU7gR2zEb9nq7r5wFwGvu9GOvyS7MOgxk67FWkPAmMFk5C9+jHIaPsOZa1gHT0LbIdv9a046QE+Y5Ghw0/tDIppc3s+G5TXz9zAaa67r2X165pZL40XEtj/sM60P1nhpcdhfhCeE4m53YqpqxVTWTeEair94CwCDgJb0Wyy7M+g9aWDCUqQJuzC7M+kl2YVatv43pDSiH4UOsuRa7NXPRiXgAAAqCSURBVNeSi+Y4PvW3PYRoxzyXw0VzTTOT7pvIlJ9NImlSP7blb+/S3KbKJsL6tO4azDEmpEvSXNvMGVnjKF1+gKSp/ag7WEdEYgR7PtpL1a4qX72Vm9IL0m7Qcb0HAV1KqgcgK4Czswuz3vG3Ib0J5TB6AGuuZbM113IJkIb/KoxuJUQ75sWN6MMZt45veTxo1kB+WHe4S3Nddlf77nBuV2owG4jsF8nwy4eRdHY/zNFmdizayfB5Q9m7xBcZyC28nF6QNkCPhbILs6qBOwi+7L3TUQncDVycXZgVqs4wYFEOowex5loWA5OAu4CDPXjpQ2hai5AU5jltThyNrS0NTBEmnLau1faLSIzA3iZ8Za+3YwgztDurOPRVOQNnDMBWbcNgNOBsdmGv91mUsS/wql6LZRdm/RcdQ11+ZgEwPrsw61WVBeUflMPoYay5Fqc11/IaMAatp4GvY68hL8zbsWgnW97c1vLY0ehoF2Y6HQnjE6jaVd3yuPr7GhLHtT97Pn7YLd27D2EQuOy6RvVOJC29IO0uHdf7FcEtLt0OXJJdmHVrdmHWEX8b05tRDsNPWHMtDdZcyxPAKLRPgL74yBqUwrzOkFIiXa0fMCOTo4gb2XrWfuirclJmtx6nbHt7B0e/6bhl87C5Qzi84QjOZmfL3OFXtOosqnZVET8mHoDwPlomlsvh8mW21HGeTS9IG6HHQu4mQbcCupRU70FsQA7aWUUgnAH2epQOI0BIzSkZAzwG/BjQ424UdMK8zqg7WM8P6w6z/e0dJJ6ZyJCLU0iZPQgpJfuWleKotyMMAluVjXE3j8Vo1lJlVz66isEXpjAibXiH6x5ef4SylQcJ6xOGOdrE2BvGtLy2b9n+Fn1H+dofqPm+BnO0+ZRr6cznwMVFmcW6bGfyMvKfQPsdC3RcwELgt9mFWT49MFJ0D+UwAozUnJJBaGmv2Wi9oD0laIV5inb8siiz+Bk9FsrLyDej9c6YrMd6PmIp8Ovswizdd8UK71EOI0BJzSmJBe5Bcx5DujlddcwLHWzA1KLM4i16LJaXkT8RWAuE67GejqwDHlWhp8BGnWEEKNZcS6011/IM2hnHLWjVN7tCyAnzejnhwIL0gjRddnTZhVmbgcf1WEsndgI3AtOVswh81A4jiEjNKZkL/BK4jI7PD74A5qiOeSHJ74oyi3P0WCgvI9+AtlPUpbS6h6wH/gS8n12Y5dOUM4V+KIcRhKTmlIxEE2T9BEhxP70VmKU65oUsDmBmUWbxWj0Wy8vIHwVsAnQprd4NlgN/yi7M+riHr6vQAeUwgpjUnBIjYEHr/PcbvbUWbmHeu8A1eq6r8JhtwJSizGJddpB5Gfn3Aj3Rjc4FFKA5Cl0cnsI/KIehOCXpBWkv4CetheKUPFeUWfywXovlZeQvAS7Xa70TqALeAl7OLszqWnEvRUCjHIaiQ9zCPN3TchVeI4FLizKLdTkgzsvIH4TWO0OX0upurEAesCi7MKtRx3UVfkY5DMVJ+EuYp+gy+4CzizKLdelTm5eRfxPwtpfL1KKJ7V5RGorQRTkMRTuUMC9oeL0os/gOvRbLy8hfBHS3tLoLLdtqIfDv7MKsOr3sUQQmymEoWlDCvKAjoyizuEiPhfIy8vuihaa6Ulp9NfAv4J3swqxDelxfERwoh6EAWoR5VvzUBEnhET8AE4oyizuurNhN8jLy04CPTvHyJuDfaDuJvXpcTxF8KIehUMK84OaDosxi3UrM52Xk/wOtX4sT7QPER0BBdmHWttNOVPQKlMPo5ShhXkhwS1FmsS5VifMy8mOBDGBJdmFWhR5rKkIH5TB6MUqYFzJUAROLMosP+NsQRWijig/2bp5DOYtQIB74Z3pBmkqDVvgU5TB6Kf7smKfwCXOA+/xthCK0USGpXkh6QdootMq2XUmhVAQPDcDkoszinf+/vXuJjaqK4zj+/QO2AmJFjCwsiBpfEYKYiA+iCWIAM3EyJLAzwYUrExeufCzYGtcmrnxE8LEyGSeOEiIxGiGighhEMUoUBS0LRSNv2v5cnDt0KG25lZlOmfl9kpveTs9Mz02m8+u5557/bXVHrD15hNGBKqXqfqCXVEPoTcALrtrDDOCNYrkwtdUdsfbkEYZRLBdmACXgMdKpjWmt7ZFdpOcrpeoLre6EtR8Hhp2jWC7MIYXGalLpdJ+2uvScBpZWSlXXdLKGcmDYmLJyIatIAbIM6Gptjyynhi7oMwMHho1DsVyYCTzEUIDc1NoeWZ2/SXez2wJsqZSqP7e4P9aGHBj2v2VXW9XCYzlwRWt71FGOku6L/TEpJHZUStWB1nbJ2p0DwxqiWC50AYuBJcBd2ddFwPRW9qtNHAN2A19l207gh0qpOtjSXlnHcWBY02SXd97GUIAsAe4krUy2kZ3g/HD43uFgk4EDwyZcsVy4kaEAqW2dVlZ9EPgd+IVUOnwnKSC+86klm6wcGDYpFMuFHmAeaUHhvFH2Z7asg+N3CviVdDvV2lb//cFKqXqmdd0zGz8Hhl0ysvt2jBQovUAPadK9ts2kMbeZHSDNIYy1HeH8YDhcKVX9x2VtxYFhbSubiK+FRzcpQC4jrSWp/zqVVIepFgBn9yul6qmJ77nZ5OTAMDOzXFx80MzMcnFgmJlZLg4MmxAR8cg42y+NiIU52z437Hkrx9s/M7swl7G2pouIZcCtEfEZ6Zaw15Imm48CL2nkibQTwFzg24joBmZIOjLCa98DbK97aAmwKSJ6gemSfDMhswbxpLc1VTZKuBl4T9JgRCwADowUEhFRAuaTynM/CgiokBa5/Sjpk2Htg1Rwr4f0z8+nwH2kS2G3ANskfdicIzPrPA4Ma5qImA/0StoeERuAFyWdyn42BVgAzJa0c9jzniJd1noQuB54TdJ5q58j4nFgL3AlcBi4H9gIrAG+lrSvSYdm1pEcGNZ02cjhDOnDfwqpIOEc0ojgkKRvsnbdwBPA+8DtpAVwx4EngXeBPZKOZ23nMFRe/RpScMyWtDsieoC1kl6dmCM06wyew7CmiohVwBpJ6+seC+AZSR/UPbYIuAHYCqwD+oEHSRVw15NGDbOBzdlT/iKdqloOLCSV4lgbEduAk8AtzT0ys87jwLCmya5W6gO+qH9ckiLi6LDmv0nak+3vi4i7SWGxQVJ/RGysnc7KzAVWkkYkmyRtjYh1pPf0AdJoxswayIFhTRER04AvJR2JiAdyPOXyiFhPmsAWcDVpArwrm+8YiIi3Jf0DIKkvIk4C76RfFw+TRhb9QOD3tlnD+Y/KmkJSP6koH6QP8Au174uIj4C+2gR3RDwr6eWR2mch9BPwB3BM0q6IWAy8lY1gVjTkQMzsLC/cs4lw9n0WEXdExHWkS1/PIemQpIGIuDciriJdKTWa7yTtIhUXrL3WGmBrRGwmFRY0swZyYNhEmFXbkbQXeBrYP0b7/cDrwOejNZD0Z7Y7F+jPTlu9AqyQtBrYcbGdNrNz+bJaa7qI6K6fsM7mNwYljXrb0YiYJenfnK/fJel0A7pqZmNwYJiZWS4+JWVmZrk4MMzMLBcHhpmZ5eLAMDOzXBwYZmaWiwPDzMxycWCYmVku/wFkBLS3INFTYQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "\n",
    "plt.legend(wedges, elements, title='商品种类', loc='center right', fontsize=12)\n",
    "plt.setp(autotexts,size=15,weight='bold')\n",
    "plt.setp(texts, size=12)\n",
    "# Set a property on an artist object.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "\n",
    "plt.legend(wedges, elements, title='商品种类', loc='center right', fontsize=12, \n",
    "           bbox_to_anchor=(0.9, 0.5, 0.5, 0)) # 指定图例摆放位置\n",
    "plt.setp(autotexts,size=15,weight='bold')\n",
    "plt.setp(texts, size=12)\n",
    "# Set a property on an artist object.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置刻度范围和刻度标签\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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357pn2EAZtyGz4OAfsGZm6Y/NZsnjP+5i6zG1p9Y/2KdWZY3p5M/rN3Zk/eFk/vvXwVo9d53jn1mw50fo/yJ0mlC7527VG8Z/D+cOwsK7VeBKCR/+E8einad4cmA77u9zRbCWVencwpvP74zieGoO93+zg8Ji4+Gp2uxeAKtegvY3wLA3DaN2EZmZmXb9+vVrGxQUFBoYGNj+s88+8wZwc3OLiI2NdWrdunX7W2+9tWXbtm3b9+zZMzA7O7v0zfv5558b3nLLLaVPg926dWu3ePFiT4DHHnus6aRJk5oD3HTTTRk//vhjtQ2bfktq1ZTuUyDlMGx8Gxq1g0638d6aI6zYn8SLI0IYG+GviazxXVoQdy6bzzYcp62PO3d0b6mJDptm5zcqSjFiIvR5WhsNgQNhxFxV9u3v6TD4v6zcn8jclYcZ26kpjw1oq4msHm0b8dbN4Ty6YBcz/tjPrBs6aqLDpjkVrfbVWvVVe2p2+oxmnrowpvnhxCyLljlq5+uRO+em8Aqjo3799VdPX1/forVr18YBpKamXvIGnTx50uW777471qNHjxPDhw9v/c0333hPmTIlLT8/XyQkJDgHBQWVuhOmT59+5pVXXvFPTEx02LNnj9vq1avjALp06ZK3Z8+ealfeqJsrNlBPWMPnQqs+sORRdqxfyrurj3BjZ3/u7VWFZF0r8NywEK4P9uGVJfvZHGdE7laJ0zvhr6dU3dCR72j7JB05SbmpNr/P2fVf8eRPuwlv5sUb48I0TZoeFd6UB/u24ft/T/LDvyc102GTZCfDzxPBw09F1xqBIlfQuXPnvA0bNng+9NBD/suXL3dv2LCh6eLX/f39C3r06JEHEBERkRsfH+8MkJiY6ODh4XHJ5tqwYcOypZR88MEHTRYvXnzsgovSwcEBR0dHmZ6eXi0bVXdXbAD2jnDLNxR93J/max7mOt/3ee2GjppXarC3E/zfrZ0YN28zjyzYxbLHexs5SJUhL12F9dfzUXlE9jooWTb0DYoT99NgzdNEOf6X2RMn6aIY9tQhQRw4m8krS/bRrok7UQG1s5ds05iKlWs5NxXuXWmx0ljW4morK2sRFhZWsHPnzgOLFi3yeuGFF/xXr16dOXfu3LMXXndycipNjra3t5d5eXl2APXq1TMXFhZeYqi2bdvmmpyc7Ojt7V3s7e19ie+8qKhIuLm5VSvRuu6u2ErId/DkcdPjeJPJF/W/wsVCeWo1xcPFkY9ujySv0MSTP+3GZL7mCwlUjJTw2xTIPKOepHVy05F2Drzk9Cxp0oNP3Obh66KPiFd7O8H7t0bQtL4rj/ywi4xcI5jkqqx5FeI3wMh3wS9cazW6JT4+3tHDw8M8ZcqUtCeeeCJp9+7dlXKHNm7c2GQymURubq4AOHHihOMdd9zR6tdff41zdXU1LVq0qLTcU2Jior23t3exs7OzYdjK4o1lh1ia4sOJyGm4xq+CrfO0llRKWx93Zoxpz+ajqcxT7mqD8tjyAcQuVSHXzbtoraaURTtPs2B/Lls6zcYl6wQse1ZrSaV4uTny/m0RpGQXMG3xXqxdZcimObZWRUBG3QOdbtNaja6Jjo527dSpU0hwcHDo7Nmz/V5++eWzVz9K0adPn/MrV650z8rKshszZkyb2bNnn+rcuXP+Sy+9dHbmzJml7VqWLVvmOWDAgPPV1Wj7JbUqYN3hZO76Yht39wzglZGh8OPtcGSlcjP4d9ZE0+VIKXn8x938tfcsP03ubriMyiJxH3zaD9oNgfHf6SZC7XhKDiPe20BYMy++v6879v/8V5VduulL6HCj1vJK+WhtHG8uj2XOTWHcHNVcazn6Iy8dPuoBzu4weV3Z3R80oC6W1Nq0aZPrnDlzfH/77bfjFY0bPHhwmzlz5pwKDw8vqGhc3S2pVQ7pOYVM/SWGQB93nh0arG6GYz4Adx9V+b2SZbesjRCCWTd0wL++K4//uJtsozLJpRQXwuIHVW+rUe/pxqgVmcw8/uMunBzseGd8J+ztBPR7TtWT/OMJyNBP0MYDfdrQvXUDpi/ZT7xRdutK/noKcs7BjZ/qxqjVVXr27JnXr1+/zKslaI8ePTrjakatIuqkYZNSMm3xXtJzC3n31k7/28x3awCj31NpAGtf11bkRXi4OPLO+HDOnM9j9rKr5jheW6x/E5L2KqNWr6HWakr5eO1R9pw6zxs3dsTPq6Qvmr0jjPsMpEklj+vE9WdvJ3j7lk442Nvxn5+N/dxL2LsQ9i1SDyVNI7RWc03wxBNPpF4tQfuRRx4pu6xPJamThu2vvWdZti+R/wwKurLbcNuBKv9p83sqX0UnRLZswN09WvHt1hNsOVqjv2nd4VS0ahba6XYIHq61mlIOJ2Xx/po4Rob5MbTDZU1IG7SGQTPUns2u7zTRVxZN67syY3R7dp7M4Jst8VrL0QdZSfDXf6BZV+j5pNZqDCxInTNsGbmFTF+yn47+Xtzfu5x8tSGzVJ7K71N045IEFaLdsqEbzy7aY9STLC5QvdA8/GCoflbXJrPkmYV7qOdsz4zR7cseFHkPtOwJK16AzErvq1udMZ2a0i+oMW8ujzWKJQMse0Z9/sd+BPZ1O/PpWqPOGbbXlh4kPbeIN8Z1xMG+nF/PxUu5tpIPKVeXTnB1smf2uDBOpuUyZ0Ws1nK0ZdP/QUosjHpX/b10wpebjrM7IYPpo9vT0L2c5F07Oxj9PpgKYOnTunFJqv3cjtgJjCjJ2GVw4DdV3LhRoNZqDCxMnTJsm+JS+HnHKSb3aX2lC/JyAgdC+AR1Az2nn32t7q0bMrF7S77eHM/eU9WOdrVtUuJg/VxofyMEDtJaTSknU3OZuzKWgSE+jA5vWvHghm2g/zTVTufAb7UjsBL413fl2WHBbDiSwsLoU1rL0Yb8TBUw4hMKPR/XWo2BFagzhi2/yMS0xXsJaOjG4wMq+QQ2eCY4uauLXEdPr1OHBtGgnjMv/Lb32tvolxL+ehIcXHTlgpRSMv2P/dgLwcyxHSpXvab7wyrRd9lzqtO7TrijW0uiWnoza+nBa7MLwJqZKtF/1Hvg4KS1GgMrUGcM2yfrjnEiNZfXbuhY+ZJG9Rqpjf4TGyHmR+sKrAKeLo68NDKEPafO88M2/YSN1wp7foLj62HgK+Dhq7WaUlYdSGLNoXM8MbDd/6Igr4a9A4x4B7KTYO0b1hVYBezslEsyK7+YN681l/eZXbDtM+h6v64S/Q0sS50wbKfSc/lobRwjOvrRo22jqh0ccaeKilr5IuSmWUdgNRgd3pQebRry5vJDJGdVO53DtsjPVAEXzbpA5N1aqyklr9DEjD8O0K6JO5N6BlTt4GaR0PlOVfEm6YBV9FWHIF8P7u4RwI/bT7I7IePqB9QFzGZYOlU90F7/otZqDKxInTBsry09iBAwbURI1Q+2s4ORb6vqAxf1btMaIQSvjulAfpGJ15ZeI73bNr4DuSkwfI76u+iED/45wumMPGaO6YBjeQFJFTFwOrh46iqQBODxgYE0dnfm5d/3XRsu75gFcGo7DHpVVwFJ1yLW7qStn7tHNdkUl8LSvYk83K8t/vUr6SK6HN+OyjUR/ZUq36QT2vq4M7lPaxbvOk30Cf2sJq3C+VOw9SPoeIuuEmWPp+Tw6fpj3BjhT7fW1UwQd2ugjNuJTcrVqhM8XBx5YYRyef+4vY67vPMyYPUryjsTdqvWaq55rN1J26YNW5HJzPQl+2newLXm3Yr7Pque4lY8r6un6in92uLj4cyrfx7EXJefqtf8V73vA17SWsklzF52CCd7O54bHlyziSLuBP9IWD0dCvVT1mp0eFO6t27AnBWxdbsDwNo3IEd/3gBb5YMPPmjYrl270KCgoNCxY8e2Apg+fXqTwMDA9oGBge1fffVVHyi/27a1O2nbdFbiN1tOcORcNp9OjKx5Dyy3BtD/BeUuil0KwSMsI7KG1HN24JmhwTz9Swy/x5zmhohmWkuyPGd2q+Cdno9D/RZaqyllR3way/cn8p9B7fDxqGG/PDs7GPI6fDFYpZj0n2YZkTVECMHLI9sz4v0NvPd3HC+PCtVakuVJPgzbPlWNYZt20lqN5fjt4eacO2DZ4pY+obmM/bDCPm87duxwmTt3rt+WLVsO+fn5FSclJdlv2LDB7YcffmgYHR19UEpJZGRkyIABA7KOHDnifHm37dropG2zjy7JWQW8u+owfdo1ZlBoE8tMGnk3NA5WAQzF+gnYuDHCn47+XsxeFlv3KpJIqQJ3XL2h93+0VlOKlJLXlh7Ex8OZ+8qrYFNVWnRTuXmb3oPzpy0zpwUIberJ+KjmfLMlnmPJ2VrLsTyrp4OjmxEwYiFWrFjhOWrUqHQ/P79igCZNmpjWrl3rPnz48AxPT0+zl5eXecSIEen//POPR1ndtmujk7bNrtjmroglr8jEK6NCLdcR294BhrwG390I/36sm+RNOzvBy6NCufnjLXyy7hhPDmqntSTLcWSlau44bI6uNvSX7Utk58kM3rixI25OFvyYDJoBh/6Cv2eoavI64T+D2/FHzBleX3aIz+6MuvoBtsKJzRD7F1z/koqGrEtcZWVlLaSUCCHk5T8ri7K6bT/77LPnrN1J2yZXbIcSM/klOoG7egTQprG7ZSdvOwACh8C6OZB9zrJz14AuAQ0YGebHJ+uPciYjT2s5lsFUDCtfggZtIEo/4f2FxWZmLz9Euybulu9fVr8FXPewCiLRURFuHw8XpvRvy6oDSWw+arPtvi7lgjfAoyl0n6K1mjrD0KFDM5csWdIgMTHRHiApKcn++uuvz166dGn9rKwsu8zMTLulS5d69+/fP6usbtu10UnbJg3b7GWHcHd24NHr21rnBENmQXGeCmjQEc8NC8YsYfZy/ZQAqxG7vlH1IAfNUC1fdML3/57gRGouzw8LUX3WLE3v/0A9H1gxTVeBSvf2aoV/fVf+++fBuhH+v38xnI6G618w+qxZkKioqPynnnrqbO/evYODgoJCp0yZ0rxXr165EyZMSO3cuXNIZGRkyMSJE5N79uyZV163bWt30ra5Dtqb41KY8Pm/PD8smAf6trHYvFewfJoKP39wg0oH0AlzV8TywT9xLHqoB5EtvbWWU30KsuC9zqqm4t3LdNNA9HxeEf3m/EOInyff39fNcm7uy9n5jerZprNu20tizvDYgl28OS6MW7rYcLft4kL4sAs41lOfYbsaBpdpQF3soH0BS3XSrhMdtM1myWvLDuJf35W7egRY92R9p6o9n1WvWPc8VeShfm1o7OHMa0sP2nZ19k3vqa7Fg/+rG6MGMG/tUdJzi5g2PMR6Rg1Ujznfjur60lHrpFFhfkS0qM+clbHk2HI39x3zIT1eJWPboFGr61i7k7ZNGbYlMWfYdzqTp4e0q3l4/9Vw9YY+T8PRv1XTSJ1Qz9mBJwYGEn0inZUHkrSWUz0yz8Dm96HDOGimn0CF0xl5fLHpODdE+NPB38qBLHb2KlDp/EkVqKQThBC8NDKU5KwCPll3VGs51SMvA9a9Ca36qj1zA11izU7aNmPY8otMzFkRS/umnowJ96+dk3a5H7yaw6qXVZ05nTA+qjmtG9fjzeWHKDbpR1elWTMLpAkGvKy1kkt4q6Qg8FODaynqtFUfFai04W1d1Snt3MKbkWF+fLrhGInn9bOarDSb3oW8NNW9Q0feAIPaw2YM27dbTnA6I49pw0Ows8aGflk4uqgw4bMxsP/X2jlnJXCwt+OZIcEcTc7h5x021lMrcS/s/h66TgbvAK3VlLLv9HkW7z7N3T0DaOZdi4EGg16Fwiy1wtARzw4NxmyGt1fZWPX/86dUwemw8aplkME1iU0YtozcQt5fc4S+7RrTs6rV+2tKx5vVXsjfr+oqaXtI+yZEtvTmndWHbStpe9XLau+yz9NaKylFSsnryw5S39WRKf2sFGlbHj7BEDERtn8Oacdq99wV0LyBG3de15Jfok9xKDFTazmVZ80sFWlad5OxzWaz2ViGAiXvQ5kuK5swbB/+E0dWQTHPDathvb7qYGcHA2dAxgnY8UXtn78chBA8PyyY5KwC5m+oMLBIP8SthqNrVF1OV/1EdK47nMymuFQevT4QL1cN0g76TwN7J1g9o/bPXQGPXN+J64t+AAAgAElEQVQWD2cHXl9qI+kliXtVBf9uD+iqNJuF2ZecnOx1rRs3s9kskpOTvYAyq9brvvJIQlouX28+wU2dmxHi53n1A6xB2wHQup9yF3WaoJsKGVEBDRgU2oRP1h9jQrcWNHR31lpS+ZhNKhnbuxV0uU9rNaWYzJLXlx6iZUM37ujeUhsRHr7Q8zFY+zokbIPmXbXRcRn13Zx49PpAZi09yMYjKfQK1HnljgveAB2VZrM0xcXF9yUmJn6emJjYARtZmFgJM7CvuLi4zJtJtQ2bEGI6kA6kSim/q+48V2Puyljs7FTJH00ZOAM+7Qsb31XdnXXCs0ODGPzOet5fE8f00e21llM+u7+Hcwfg5q/BwUlrNaUsij5FbFIWH07ojJODhveJ6x5RHoGVL8I9K3QT9HBnj5Z8vSWeWUsP8uejvayTsG4J4v5W3oAhr+nKG2BpIiMjzwGjtdahd6r1SRZCdAbypJT/B/QTQljlTrX31Hl+332Ge3u1ws+rmr3WLEXTTmq/bes8Fa6uE9r6eDC+S/OSahn6aYdyCQXZau+jWVcIHaO1mlJyC4t5a1UsES3qM7yjr7ZinN2VSzLhXzj4h7ZaLsLZwZ5nhgZz8Gwmi3fpp3DzJZhNKh+wfktdeQMMtKO6j6jDgE0lX8cBFvedXKiu3qCek3UrjFSF619UYer/vKa1kkt4YmA77O0Ec1boNIJtyweQnai7ZOz5G46TlFnAC9ZOxq4sne5Q3SVWTwdT1bsGW4tRYX6EN/PirZWx5BeZtJZzJXt+hqS9Kn3EQT/u+Drd307nVNewNQWSS75OA/wsI+d/rI1NZsuxVB67vi2eLjqpI+gdoJ4Id38P5/Szod7E04X7erXmzz1niUnIuPoBtUlWoqoyEjpGtW3RCclZBXy87ihD2jchKqDKfQytg72DCv9POwo7vtRaTSlCCKYND+Hs+Xzmb9RZoFJRSU3XphGqJZBOyCs0MfTdDcxZoZ/7xLWEJTYVBHBJbSchxGQhxA4hxI7k5ORyDquYgEb1mNi9JRO6abShXx59poKTh3qq1hEP9G1Ng3pOvLHskL5Kbf3zGpgKYYB+9iUB/u/vwxQUm3l2qAaRthUROBgCesO6NyC/yrVfrUa31g0ZGNKEeWuPkpqtn7QX/v0YMk/BoJm66oz95ebjJGbm0zuwsdZSrkmqeyWcAS6ESDUAzl78opTyUylllJQyqnHj6v1hWzWqx8yxHbTd0C8LtwbQ6wk4vAziN119fC3h4eLIo9e3ZcuxVNYert7DhMVJOgC7voWu96tixzoh7lw2C7YlMKFbC1pbuu1RTRFCVczITVWBSjriuWHB5BWZeO/vI1pLUeSkqqot7YZCq95aqyklLaeQef8cZUCwD91bN9RazjVJda3GcqBHyddtgW2WkWMjdH9I9Xha9ZKu2o7c3q0lLRq4MXvZIX20HVn1Mjh7qFWujpi9/BCujvY8PiBQayll0zQCOt6iukuc109lmbY+7tzapTnf/3tSH52218+BwmwVsawjPlgTR05hMc9qkXdrAFTTsEkpowFXIcQTwFoppX52umsDR1fV4+l0tOr5pBOcHOyYOiSIQ4lZ/LpT4xvi0TUQtwp6P61WuTph2/E0Vh1I4qF+bfSd9zeg5KFpzSytlVzCEwPb4exgp31PwLRjqlpLxERVvUUnnEzN5dut8dwc2Zx2TTy0lnPNUm0/n5TyVSnlu1LKby0pyGYIvw182sPfM3RVamtkmB/hzevz1srD5BVqFMFmNsHKl1X1h66TtdFQBlJKZi09iK+nC/f0bKW1nIqp30JV0IhZoCpq6ITGHs482LcNK/YnsT1ew8LNf7+qmtP2e147DWUwd2Us9naCJwdpnHd7jaOzDSwbws4eBr+qej5tn6+1mlKEELwwPITEzHzmb9So9uCen0rCr19RhaR1woWo0acGt8PVyQZ6dPV+Clzrq4otOuK+3q1p4qlhT8BTO5Sn5LpHwNPiAdnVZs+pDJbEqLxbXy/9XPfXIoZhqwltB0Lr/rD+TdUDSid0baVKbc1be5TkrFpeTRbmwt8zwT9S9VvTCQXFJt5ccYhgXw9u7NxMazmVw7U+9HkGjv2j6mzqBFcne54aFMSukxks3ZtYuyeXUhn6eo1VGTKdIKUqzaarvNtrGMOw1ZTBM5VR2/CW1kou4blhweQXm/m/vw/X7om3fghZZ3SXjP3tlhMkpKm2R7otC1UWXe5T+ZMrX1YuXp0wLrIZwb4ezF5+iILiWtQVuwxOboZ+z6nAJJ2w9rDKu31UT3m31zCGYaspvh3Vftu/n0DGSa3VlNKmsTsTurZgwbYE4s7VUgRb9jkVoh48Elr2uPr4WuJ8bhHvr4mjd2Aj+rSzsbwiBycYOB3O7Vf7bTrB3k7w/PAQTqbl8t3WWrruTUUq0rZhW+h8V+2csxKYzJLZyw7RooEbt+st7/YaxTBsluD6F9Xq5O+ZWiu5hMcHBuLqaM8by2opgm3t61Ccr7/w63+OkJlfxPPDQrSWUj1Cx0KzLqrCRmGu1mpK6duuMb0DG/H+miOcz6uFwOgdX0LqEZWMba+fVdGvO09xKDGLqUOC9Jd3e41i/BUsgZc/dJ8Ce3+GM7u0VlNKI3dnHurXhtUHk/j3WKp1T5Z0AKK/gqh7oFEtN+usgPiUHL7aHM/Nkc0IbapR26OaIoRy7WadVa5eHfH8sBDO5xXx0T9x1j1RXrp6cGrVB4KGWfdcVSC/yMTbqw4T3syLER31E8hyrWMYNkvR6wlwa6g2tnWUtH1Pz1b4errw2tKDmK2VtC0lrJgGzp66C79+fdlBHO3teHpwkNZSakaL7srFu/Fd5fLVCaFNPbkxohlfbo4nIc2Kq8n1c5VxGzxLV3u3n64/xtnz+Tw/PAQ7W9q7reMYhs1SuHipm3r8BjiyUms1pbg62fP0kCBiTp3njz1WardzZKWK3Ov3nK6SsTcfTWHF/iQe7t8WH886EH49cIZy9a59Q2sll/D0kHYIVA6XVUg9qvawI+4AvzDrnKMaJJ7PZ97aowzr4GuUztIZhmGzJJGT1Mb2qpfBVKy1mlJuiPAnxM+TN5dboe2IqUit1hoG6qoXlsks+e+fB/Gv78q9vXSejF1ZGrWFyLuVyze5lqNdK8DPy5X7erfi991n2HPKCmkvq14Geye1l60jZi8/hElKpg230b3bOoxh2CyJvaNqO5J8SJX70Qn2dipp+3RGnuXbjmz/HFLjYMgsXW3oL4xO4MDZTJ4bFoyLow0kY1eWfs+Bo5vuuks82LcNDes5WT5pO34jHPoTej0JHho3g72InSfTWbzrNPf1akXzBm5ayzG4DMOwWZqg4dDmetWuJVsnVfaBXoGNGBzahA/WxHH2fJ5lJs1NUxv6ba5X7VZ0QnZBMXNWHCaypTcjw+rYhn69Rmo/N/YvOLFZazWleLg48vjAQLYeS2PNIQvtAZrNyhvg2Qx6PGKZOS2A2Sx59Y8DNPZwZkp//QRKGfwPw7BZGiFg6GwoylF1JHXESyNDMUvJrL8OWmbCtW9AQRYMeU1XG/rz1saRkl3ASyND9dEZ29J0n6K6S6x8UVeBSrd1bUHrRvV4fdkhik3mmk8YswDOxsDAV1ThcZ3we8xpdidk8MyQINydHbSWY1AGhmGzBo3bqdY2u76DU9FaqymleQM3Huzbhj/3nGXL0RqG/yfHKjdk1D3go589hpOpuXy24Tg3RPjTqXl9reVYByc3td90Ohr2LdJaTSmO9nY8MzSYuHPZ/LQjoWaT5WWovbVmXaHDTZYRaAFyC4uZvSyWsGZejLOV0mzXIIZhsxZ9ngH3JrD0aeVS0QkP9WtDM29Xpi/ZT1F1n6qlhL+eUiWN+k2zrMAaIKVk+h/7cbQT+uuMbWnCbwXfMJVeUpCltZpShrRvQteABry18jAZuYXVn+ifWZCXBiPm6qoz9ry1R0nMzOflkaFGeL+O0c8VU9dw8VSBJGd2wu7vtVZTioujPS+NDCU2KYtvt5yo3iR7F6q0hoGvQD39hDmvOpDEmkPneGJgu7pfXd3OHka+o5K2dRT+L4Rgxpj2nM8r4s0V1Qz/P7unxBtwL/iFW1ZgDTiWnM0n644xplNTogL0k9ZicCWGYbMmYbdA8+4qgk1H1f8HhzahT7vGvLPqcNWr/+efVxv6/pG6qteXW1jMjD8OENTEg0k9A7SWUzs0i4LIu2DrPEjar7WaUkL8PJnUI4AF206y62R61Q6WEpZOBdcGqpmvTpBS8tLv+3B2tOOFEfpxvRuUjWHYrIkQMPxNyE1VrhWdIITglVGh5Bebqt4Jec0syE2BEW+pVYNO+GBNHKcz8pg5tgOO9tfQZT3gFVUc4M//6Mrl/eSgdvh4OPPib/uqFkiy+wdI2AqDZoCrt/UEVpElMWfYFJfKM0OD8fGo496AOsA1dAfQCL9w1UV622eQsE1rNaW0aezOvb1aszD6FJvjUip30JndsP0z5SJqGmFdgVXgSFIWn204xo2d/ena6hpzEbk1UC7vhK0Q84PWakpxd3bg5ZHt2X8mk2+3VtLlnX1OeQOad4fwCdYVWAXO5xUx88+DhDfzYkLXFlrLMagEhmGrDQa8BJ7+sORRKK7BhrqFeWJgIAEN3Xju173kFV6lIompCJY8oho86qgChMksmbpwD+7ODtduBYhOt0OL65RRyKrlxp8VMLyjL33aNWbuilhOpVeijuSyZ6EoF0a/r6uAkTeXHyItp4BZN3S0rV5+1zD6uXrqMs4eMOpdVZFk49taqynFxdGe128M42RaLm+vuspG/8Z3IXGvClhw1U8Y/ZebjrM7IYPpo9vTyN1ZaznaYGcHoz+A4gIVraqT3DYhBLPGdkACz/+6t+KKJLHLYP+v0PcZlS6jEzbHpfD9vye5u2crOvh7aS3HoJIYhq22CBwEHW9WVcrPWShB2gJc16YhE7q1YP7G48QklBPgcu4grJsNHcZB8IjaFVgB8Sk5zF0Zy4BgH0aHN9VajrY0agv9p6nyU/sXa62mlOYN3Hh+WDAbjqTwc3m5bfnn1R6hT3vo8XjtCqyAnIJinlm0h1aN6tl+d4hrDMOw1SZD31Crt9+mKNeeTnhumNoQf2bhniuLJJuKlV4XTxj2pjYCy8Bsljz36x4c7eyYdUPHullhpKp0fxiadla5kzmV3DetBW7v1pLurRvw3z8Pll3ObcULkJ0IY95XHcN1wuvLDnI6I485N4Xh6qSfQCmDq2MYttqkXiPlkjyzU62AdIKniyOvj+tIbFIWcy7PPdpUonf4HKVfJ3y5OZ6tx9KYNiKk7uesVRZ7BxjzIeRnwp9P6sYlaWcnmD0ujGKz5LlFl7kkDyyBXd+qIsf+kdqJvIzNcSl8t/Uk9/ZsZeSs2SCGYattQsdApztgw1twYovWakrpH+TDXde1ZP7G46w/XFK8OWG7Kubc/kb1TyfsP3Oe2csOMTCkCbd2aa61HH3RJFQF9xxcAju/1lpNKS0b1uO5YcGsO5zMF5vi1Q8zz8Afj6kIWx01qE3PKeTpX2Jo3ageTw8xXJC2iGHYtGDYG1C/Jfw6We0v6ITnh4cQ6OPOU7/EkJ6WAovuAS9/FTCiE1dfbmExjy3YRX03R968KcxwQZZFj8egdT9Y9hycq2KeohW587qWDAxpwhvLDrI3IR1+e0gFvNz4mW5aHkkpmbowhuTsAt69tVPdanl0DWEYNi1w9lAf5szTunIZuTja83+3RnA+t5Aj8+9Fnj8N4+brKgpy5p8HOJaSwzvjO9Ggnn72Y3SFnR3c8Ak41YOF90BRvtaKABUlOeemMBrWc2bjt9Ph2FrVx69RoNbSSvliUzyrD55j2vAQwprp57o3qBqGYdOK5l1UFNu+Raokkk4IberJF2EH6Jqzln9bPgjNu2otqZTfd59mwbYEHujThp5t9bPfp0s8fOGGj+HcflihHzefdz0nvuyby+SCr4nx6IPsPElrSaXEJGTwxrKDDAptwqQeAVrLMagBhmHTkl7/geCRqq/W8fVaq1Gc2ELP2Dc4WK8Lt8dex5pDSVorAtRN55mFe+jaqgFPDdZPnpOuCRwEPZ+AHV/A9vlaq1FknCRk42OcdwtgQvJdzL+w36YxyVkFTPl+Jz4eLswxXNw2j2HYtMTOTj1VN2wLv0yCjJPa6kk/AT/dgfBuScDknwj2q8/jC3ZzNDlbU1nnMvOZ/O0OGrk7M+/2ztdWLciaMuBlCBwCy57R/uGpKA9+vB3MJurf8wt9OrRi1tKDmj885ReZmPztDlJzCph3R2fquxkublvHuENojbMH3Pq9ymtbMEG7LgAF2bDgNjAXwW0/4erVkE8mRuLoYMfkb3aQnqNNKTB104kmK7+Yz++KouG1Wl2kutjZw7jP1cPTz3dC2jFtdJhNsPhBVb1m3GfYNQ7krVvCad/Uk8cW7CY2UZuecmaz5OlfYth1MoN3x3cy9tXqCIZh0wONAuHmr1TJrQW3QmEl6upZkqJ8+HmiOv/NX6kqFkAzbzc+ur0zCel5TPpyG1n5tZtUXlhs5uHvd7I7IYO3bwknxM+zVs9fZ3DxhNsWqK+/u6n260lKqYKkDvwGg/8L7YYA4ObkwGd3RuHmZM89X23ndEYZydtW5u1Vh/lzz1meGxbM0A5+tX5+A+tgGDa90HYAjPsMEv5VRqa2iiUXF6jzHV0Do9+DNtdf8nL31g35cEJn9p3J5N6vd1y9WLKlZJnMPP7jLv4+dI6ZYzsYN52a0qA1TPgZspPg61Gqkn5tICWselnl1PV+Gno8csnLfl6uzL+rC5n5Rdz26dayK5NYiff+PsIH/8QxPqo5D/RpXWvnNbA+hmHTE+1vgJHvQtxq+PU+6xs3UxH8cjccWanOG3FHmcMGhTbh7VvC2R6fxkPfR19ZdsvSssySp36JYdm+RF4cEcLE7i2ter5rhuZdlXE7fwq+Hm39sltSwro3YfN70OX+crtCdGzmxTf3dCU9p5DbPt1K4nnrpidIKXl71WHeXnWYGyP8ee1GoyRbXcMwbHoj8i4Y8hoc+B1+vA0Kc6xznsIc+OkOiP0Lhs+FqLsrHD6mkz+zxnZkbWwyd32xjUwruSXzi0w8umAnv+8+w9QhQdzX23iStigBPeG2HyH9OHw1Uhk5a2A2q2jfta9B+G2qzmgFxiOihTdf3dOVlOxCbvtsKydTreOOl1IyZ0Us7/19hJsjmzHn5nCjFU0dxDBseuS6h2HUe8o9+MVQyCinKnp1OX8KvhyuVmoj3oau91fqsAndWvDu+E5En0jnpnmbiU+xrNE9l5XPHZ//y9K9aqX2cP+2Fp3foITWfeH2X1SBgM8GwOloy85fkK3c21s+gG4PwpiPKtVfLbKlN1/f05X03EJu+GgT2+PTLCorv8jE4z/u5qO1R7mta3NmjwszjFodRVTYI8kCREVFyR07dlj1HHWWI6tU5Qh7R1XcNmiYZeZc/IDaWxv3ebXm3BSXwsM/7MRslrx+Yxgjwmq+/7U5LoUnftpNVn4xc28Ot8icBlchaT/8cKuqrD94FnS5r+YNPs/ugUX3QeoR5Xno9mCVy7EdS87mnq+2k5Cex9QhQUzu3Rq7GhqguHNZPPLDLmKTspg6JIiH+rbRvftRCBEtpYzSWoctUi3DJoQYL6X8qTJjDcNWQ1KOwMK7VZh0+G0w6FVw96n6PNnJsHo67P4OfELhlm9qVMooIS2XRxbsIiYhg5Fhfrw4IrRaVfbTcwp5a1Us3209SetG9fjojs4E+xrRj7VGbpp60DmyEgJ6qxV8dRp9FubCxndUNwjXBnDjJ6peZTXJzC/i2YV7WLYvkciW3rx2Q0eCfD2qPE9BsYnP1h/j/TVxuDs7MPeWcPoHVePzowGGYas+VTZsQohRwBQpZaUe9Q3DZgGKC1Sbm03vgYMzdJ0M3R5QZZOuRlYSbP9cle0qyoWej0PfZ8Gx5q1eikxm5q09ygf/xOFgJ7ije0vu6dmqUgYuLaeQ77ae4PMNx8guKGZSj1ZMHRJk9L3SAilh5zdqT6wwByJuh+segcaVqGxfkAW7f1Ad1rPOqGa6Q2dDvYYWkCVZvOs0r/55gPN5RdwQ4c/kPq0r9eCTW1jM4l2n+eifo5zOyGN4R1+mj2qPj6fttDgyDFv1qe6K7Ssp5aTKjDUMmwVJPqw24/f/BsIO2vSHtgNV24/6LcDRVT05nz8FZ3erp/Bj61TSdcgoGPCKVQrOJqTl8tbKWJbEnAGgR5tG9G3XmPDm9WnewBVXR3sKis2czshj3+nzrItNZv2RZIpMkuuDfXh2aHC1nsYNLExOinqAiv4aTAXQrAu0GwrNosA7AFy8VKRu5mnlxjz2D8QuUw9MLa5TUY8BvSwuKz2nkHnrjvL15ngKis2EN/NiQEgTOjWvT6tG9fB0caTQZCYpM5+DZzPZFJfC6oPnyC4oplPz+jw9OIhegbZXW9QwbNXHMGy2SEqccike+L3iShLeARAyGiInQcM2Vpd1MjWXhdEJ/LnnLMcqCCzxr+/KsA6+jO/SnMAmhkHTHTkpagV34Hf1gFQe9XzUHm3EHcoIWnnPKj2nkIXRp/hz71liEsqv0NOwnhP9g324Jao5XQK8db+XVh6GYas+FRo2IcQQ4OJOjoeklBuvZtiEEJOByQAtWrSIPHHihIXkGlzB+VNw7qCqM1lcoFZtHr7gGwaeTTXro5aUmc+hxCxOpedSUGTGycGOJp4uhDb1pKmXi83ebK45ctOUccs8o3oH2jup66tRkFr9a/R3zMgt5MCZTE5l5JGZV4Szgx0N3Z0J9HGnTWP3Ggeb6AHDsFUfY8VmYGBgoEMMw1Z9jDw2AwMDA4M6RZUNmxBiDNBfCDHYCnoMDAwMDAxqhNUTtIUQyYA1NtkaAVYudmd1bP13sHX9YPu/g6Ffe6z1O7SUUja2wrx1HqsbNmshhNhh6/5nW/8dbF0/2P7vYOjXnrrwO9Q1jD02AwMDA4M6hWHYDAwMDAzqFLZs2D7VWoAFsPXfwdb1g+3/DoZ+7akLv0Odwmb32AwMDAwMDMrClldsBgYGBgYGV2AYNgMDAwODOoWD1gJqghDiVkACfaSUD2utpzoIIUKBcVLKmVprqQpCCHvgLiAd6GBr+gGEENNR+lOllN9pLKdK1IX3H2z3+r9AXbgH1UVsdsUmhGgGeJU0PN0mbLeq7ljAFpuQDQYypJSLgRwhRAetBVUFIURnIE9K+X9APyGEk9aaqohNv/8XYavXf126B9U5bNawATcAOwGklF9LG4yCKbm52mqF6ASg+KLv87USUk2GAZtKvo4DumqopTrY+vtv69c/1IF7UF3Fll2RAYCTEKI30BJ4wgYvrHbAVqCH1kKqipRyH7Cv5NvWwFEN5VSHpkByyddpgJ+GWqpMHXj/wYav/xICsP17UJ3EZgxbGb3hIoA1Usq/hBD3Ar2ADZqIqwRl6D+C0uuojaKqUUFvvvHA2zb+gRaofRKbw1bffyFET2zo+i8HD9TnwCbuQdcSNmPYpJQrLv5eCNEa5Y4BOIl6AtctZegfCwQCvkCAEKKtlDJOE3GV4HL9AEKIrkCClLKCNt665QyqeG0s0ID/rX5sBht//xujjJpNXP/lkIIN3YOuJWx5j209cKHwqC/qBmUzSCl/k1KuRbli4m3tQy2EqAe0lVJuFkK4CiF6aa2piiznfy6wtsA2DbVUGVt//239+i/Bpu9BdRlbNmwrgeZCiHGAo5Ryt9aCqooQwhUVFdZdCNFCaz1V5B7gBiHEj8A61D6VzSCljAZchRBPAGullEVaa6oiNv3+g81f/1AH7kF1FaOkloGBgYFBncKWV2wGBgYGBgZXYBg2AwMDA4M6hWHYDAwMDAzqFFYP92/UqJEMCAiw9mkMDAwM6hTR0dEpUsrGWuuwSaSU1foHjK/MuDZt2khbYNGiRVpLqBSGTstiCzptQaOUhk5LA+yQ1bw/X+v/qhUVKYQYBUyRUg672tioqCi5Y4ctl4MzMDAwqH2EENFSyqirjzS4nGrtsUkp/wCSKjM2Ny0RTv4LGQmgo9QCKSWp2QXsOpnOxiMpvPXDMnadTOdcZj7VMfa1xfLly7WWUCl0q9NUBKlHIX4jHF3Dtp/mwrmDUJijtbJLyC8ycSQpi81HU3j7h2VsOZrKseRsCopNWksrF93+zS9DtzqlhOxkOLUDjq7RWo1NU+08NiHEV1LKSeW8NhmYDBDpZxe5Y7K7esHJHVp0hzYDoMM48GhSrXNXl9zCYlYdSGL1wXNsPZZKclZBmeO83Rzp2qoB1wf7MKyjH54u+ilnl5OTQ7169bSWcVV0pTM5Fg78DkdWwdkYMJXxdxd24BMKrfpCyCh1ndZiFxIpJbsSMlixP5H1h1M4nJSFyXzlZ9PRXtC+qRe9AxsxIsyPYF/PWtN4NXT1N68AXeksyIKDf8DhFephKzel9CUxI9NYsVUTqxi2i2kfGCD3L/scMk5C0n44vgFSYkHYQ/Bw6PUk+EdWS0NlOZ2Rx/wNx/lp+0lyCk009nCmR5uGdPT3omXDeni5OrJv315atg0mIS2X/Wcy2RSXwpnz+Tg72DGmU1Me6teWVo20/zBs2rSJnj17ai3jqmiuU0o49Bds+RBObgaEus5adIcm7cHDDxxd2Ruzi44BjSHlMCRsgxObwFQIjYKg2wMQMREcrNeqrchkZvHO03yx6TiHErNwtBd0CWhA5xbeBDZxp7GHM7EH9hMU0p6z5/M5fC6L6Ph0dp5MxywhokV97u3ViuEd/LCz07YdmOZ/80qiC53p8bDpPYhZAEW54NEUWvcDvzDwbgUuXoiAHlcYtujoaB8HB4fPgQ5c21HtZmBfcXHxfZGRkecuf9Hqhi08PFzGxMRc+sPkw7D7e4j+EvLPQ/BIGDwTGrSulpbyyMwv4sM1cXy5KR6zlIwOb8r4Ls3pEiCJ6isAACAASURBVNDgiptAUlISTZr8bwUppWTPqfP8tCOBRdGnKDKZGd+lOU8PDqKhu7NFdVaFy3XqFU11nvwXlj8HZ3ZC/ZbQ5T4IG1+mh+AKnfmZcOhP2PYpnNkF9VvAwOnQ/kaLr+BW7k9k1tKDnEjNJcTPkzuva8mIsCs9BGW9lynZBfwRc4avN8cTn5pLqJ8nL44MoUebRhbVWBWMa7MS5KbButmw/XPlJQi7BSLuhOZdr7i+ytpji4mJWeLr6xvSuHHjTDs7O/3umVgZs9kskpOTvRITEw+Eh4ePvvx1qxu20NBQeeDAgbJfLMiCrR/DxnfAXAzXvwjXPQx2NW+ou+ZQEtN+3UdSVj7jOjfjyUHt8K/vWu743bt306lTpzJfS84q4KO1cXyz5QTuzg7MGN2eMZ2aokXD3Ip06glNdBZkw8oX1QOTpz/0nwZht4J9+Vkt5eqUEo7+DatnQOIe5T4f/R54NauxzHNZ+Uz7dR+rDybRrok7U4cEMzDEp9zrqaL30myWLIk5w9yVsZxKz+OmyGa8NDIUL9fad58b1+ZVOLAE/nwS8tKg813Q9xnwLL8hQDmG7VjHjh3Tr2WjdgGz2Sz27t3rHR4efsWKqFp5bEKIMUB/IcRgKeXKisba21dgpJw9oO9UiLgD/noKVr0Eh5fDTV+Ah291pFFQbOK1vw7y9ZYTBDXx4JOJkYQ3r3/V4zw8PMp9rbGHM6+Mas+Eri14dtEenvhpN6sPJvHGuDDcnWu3809FOvVEres8swsW3gNpx+G6R6Df8+DsftXDytUpBLQdCK37q6fr1TNgXk8Y/T6EXvGAWGn+OXSOp36JIaegmGnDg7m7Zysc7Sv2KFX0XtrZCcZG+DO0gy/v/X2ET9cfY8vRVN67LYLIlt7V1lkdjGuzHApzYelU2P0d+IXDnb+Bb8fqzmZnGDVFyftQ5oenulGRv0spW17NqFUaTz+49XsY+7G6QX3cG05urfI0KdkF3PLJVr7ecoJ7e7ViyaM9K2XUKktgEw9+ebAHU4cEsXTvWcZ+uIljydkWm9+gmuxeAPOHQHEBTPoLhsyqlFGrFHb2aq/twQ3KVf7zRGXkzOYqTWM2S977+wh3f7WdJp4u/PloLyb3aXNVo1ZZXBzteWZoML88eB1CwPhPtvDDvyctMrdBDUg/AfMHq62XPlPhvr9rYtQMKonVNx9NpkqGJwsBnW6D+9eoldzXo2HfokqfJz4lh3HzNhObmMnHd0Ty0shQnB0q79LMysqq1Dh7O8HD/dvy3b3dSMsp5MZ5m9kRX3sdQyqrU2tqRaeU8PdM+O1BtUfxwAYIqFpQQKV1NmwD96xQLqSNb8MvdypDWgmKTWamLtzD26sOc0OEP4un9CCwSeVXDVV5LyNaePPXY73pFdiIaYv3MvPPA7WWvmJcm5dxOho+HwjnT8Ltv6itFnv9RFjXZaxu2Bwdq/iH9AmB+1arCLaF90D0V1c9ZM+pDMbN20xmXhEL7u/O0A5Vd2P6+flVaXyPto1YPKUHDdycmPD5v6yNvSIwxypUVadWWF2n2QR/PAYb5kLnO2HiYqjXsMrTVEmngxOM+j8Y8poK0V5wm3IzVUBBsYlHftjFop2neHJgO96+JRwXx6rtIVf1vfRydWT+XV2Y1COA+RuPM23xXsxlpA5YGuPavIj4TfDVKHB0hXtXQeAg65/ToBSrG7aCgso91V6CWwN1owocDH88Dju+LHfo1mOp3PrpVlyd7Fn0UA8iWlRvXyEuruoNfFs2rMeih3oQ6OPO5G+jWXc4+f/bO++oKK73Dz9DLyI2FAW7IhbsJfbeWyyJJtH08o0aNYnpibGkq+mJJjH5mWIsUezd2DUWVLCCoqIgRRSk953fH4MJ6i7bZnYGnecczgF2ymfvnZl37r1vsenc1mCLTjVQVKfBAGsnw7HfoOs0GPq1zW/CVusUBMnBadg3UhDt4tGSJ6URsvMLefbXMDafTmT6kCZM6dPQJocjW9rS2Ung/aFNmNizPksOxzLtrwgKi6ybPrUW/dosJmY/LH4IfAPgma3g10jZ82mEVq1aBZvbJjMzU2jXrl2jwsJCk9vk5uYKbdu2bVRQYHvtX8UNm5eXl207unrAmD8k47Z+KoT9ctcmJ+Ju8uyvYdSo4Enoi52o52f7uoqtXlIVvd1Y/GwHGviV47nfwtijsHErC15noKBOUYSN06SF+O5vQO/37HLDt1ln68dh1EKIPQS/Pyh5+JYgt6CIp/7vCPujr/PZ6OY83aWuwzUKgsBr/YOZ1i+I0ONXmbI0XFHjdt9fmyAFWS8eLXnPPrHeZie4ssjx48cjzW3zzTffVBk2bFiqi4tppzsPDw+xe/fu6QsXLqxkqxbFXfoyM+1wrnBxl4zbsvGSm6yzO7R6DIDzSRk88cthKni58sczHaha3sMunXv37mXAgAE27VvBSzJujy48xHO/hfF/T7VTLJ7IHp2ORBGdoii584f9DJ0mS56PdmKXzpDR0lTTsvGw/HF4dDk4u1JkEJm6NJxDl1L4amxLhrcMUE8jMKlXQ9xdnPlw41nKe7ry0YhmioSq3NfXJkDskeKRWk14cj2Uqyr/OUrw2oqImucSM2wcORgnyN8ne87oFrGlbZOenu40bNiwegkJCW4Gg0F4/fXX45977rlULy+vVsePHz89cODAhu3bt88MCwsrV61atfwtW7ZElytXTgRYvnx55aVLl168dawOHToEvfnmm4kjRoxInzx5co309HTnRYsWxY4ePfrmm2++GfDiiy/a5MCg+IitfHk7U/64uMOY3yW363WT4cJOYlOyGffzIVycnfjjmQ74+9pn1AC7L/RbI7c6lb154fejnE9SZoG6LDw4QCGde+fCP99C++eh7yxZAqbt1hk8WFp3u7AD1r6EaDAwfc2pf6cf7TVqsmgEnutWjwk96rPk8BW+3aHMVNx9fW2mXIIlY6FcNYcYNTUJDQ0t7+/vXxAVFXXm/Pnzp0eOHHnbXPyVK1c8Jk+efC06Ovq0r69v0W+//VYRpCnG2NhY90aNGuXf2nbGjBnxH3/8cfX58+dXOnHihNfChQtjAdq1a5dz4sQJm1M9KT5iu3nzpv0HcXGHh3+FXwYgLh/P+84fkVvgz7IXHqCOTGmuQkNDGTlypF3HqOTtxi9PtePB7/bz1KIjrJrQGT8febOUyKHTEciu88wa2PEBhDwMAz6VLQuILDpbj4eMBNj5IWE33Fkc3Y//da9v1/Sj7BqB1/o3IjEtl3nbzuHv68FDbWvKoO4/7ttrMztFGqmJRfDYCocZNXMjK6Vo3bp1zjvvvFPzxRdfDBg+fHjagAEDbpuWCwgIyOvUqVMOQKtWrbJjYmLcARITE118fHxuW1wbOHBg5vTp0/n222+r7du3L+rWFKWLiwuurq5iamqqU8WKFa2eP1d8xFahgkxxZB6+FD2yjLRCV2ZnzeTnUbVkTQAr14UeUMGTn59oy/XMPJ77LYzcAnmzsZeFBwfIrDM+HEJfgMD2ktOGk3yXrWw6u71GTJ0xtItbxGd1w3ljgHwOA3JpFASBT0Y1p0uDKrwVepJ956+b38kK7strszBPmoq+eRnG/glVGsh3bI3SvHnzvGPHjp0JCQnJeeeddwKmTZt2m5upm5vbvy64zs7OYmFhoQDg7e1tyM/Pv+3mPXz4sGdycrKrm5ubeKcBKygoELy8vGxy51XcsMkyYitmzsFsxmW/QjWXTNr+M8HiOCJLCA0Nle1YzQMr8OWYVkTE3eTVvyJkjSOSU6eSyKYzPUFyq/euIgXxu9o/7VwSuXSeTcxg8IUHCXdrzUPXvkS4ekyW44K8fe7m4sT8ca2p5+fNS0uOEZdaeriCNdx31ybAhlfg8j4Y/j3U7iTfcTVMTEyMq4+Pj2HChAkpU6dOTQoPD7donc/Pz6+oqKhIyM7OFgAuX77sOm7cuLqhoaHRnp6eRStXrvx3pJKYmOhcsWLFQnd3d20aNrlGbGvCr7Jg9wWat++By6ifpODHLW/LcmyQ/21zQDN/Xu8fzIYTCfyyP0a2495Xb8WF+bDsMSlR9iNLFZnikUNnWnYBL/x+lHKebgQ8uxjBx1/KUJIpj4es3H3u4+HKgnFtKCwSmbD4mGyzCvfVtQlSuMnxP6SQk+YPyXPMMsDRo0c9W7Zs2Tg4OLjJp59+Wn369OkJlu7brVu3tK1bt5bLyMhwGj58eP1PP/00rnXr1rnvvfdewuzZs/9NnLlp06byvXv3TrNVo+KGLS3NZm3/EpmYzusrTtC+TiVmDG0q5errOEnK4XfiLxlUwvr162U5Tkn+170efZtU4+ONZzl6OVWWYyqhUwlk0bltuvQCM2IB+Dez/3hGsFdnkUFkyrLjJKTl8P1jbfCrWkPy5M2+ASuegiLT8TqO0miMen7lmPdwC07EpTFz3WlZjnlfXZsJJ2DDNKnUTE/5XrDLAqNGjUo/d+7cmcjIyDOnTp06261bt2yA7Ozs440aNco/f/78vxfUrFmzkj7//PP4W39PmTLl2qJFi6r4+PgYwsPDI0eMGJEO0lpbeHj4v+ECS5YsqTRp0iSb3ww17xWZnV/IpD+P4+PhynePtcbNpVhynxlQq6PkKXnNbPiEWfr162f3Me5EEATmPtSC6hU8mPTnMVKy8s3vZAYldCqB3TrProdD86HDi3YlHTaHvTq/3RHNrqhkZgxr+l/S4eotJE/JmL3w9wzVNZo8blP/fwO4lx2xP6/kfXNt5tyUwju8KsOon2WpRnK/0Llz55wePXqkmwvQHjZs2M0WLVrYvNakuGGzK44NmLXuDBeSM/lyTMvbPQydXWH0/4GbtzTtk2ffeQ4cOGDX/qbw9XRl/mNtuJGVz9Rl4XanNlJKp9zYpTM1BtZMgBqtJLd+BbFHZ1hMCl/9LeV/fLR9rds/bDEW2j4NB76B6L9V02iOV/o2okuDKkxfc5roa/aFqNwX16YowpqJkBYLDy2S1n51rGLq1Kk3zAVoT5o06YY951DcsHl6mq6BZo61EfEsPRLLi93r06WhkQuofHWpxM3183avt4WEKJdxu1mAL+8PbcKec8ks3HfR/A6loKROObFZZ2E+/PUUiEgvLgpWrwbbdablFDBlaTiBFb2YNbyp8YDn/h+BXzCsfhGybPdAVLLPnZ0EPn+4Bd7uLkxeEk5eoe3rbff8tQlSrb/I9dBnJtTqIJ8oHVlR3LDl59s2/XblRjZvh56kda0KvNw3yPSGdbtB58lw7FeI3GijSoiJibF5X0t4tH0t+jetxtwt5zibYDy3oCUorVMubNa5+1Op8vXwb6CSPHFgpWGLTlEUeWfVSZLSc/n6kVb4eJjIU+nqKU1V5aTCmknS276DNFpD1fIefDaqOWcS0pm39ZzNx7nnr83r0bDlHSlZxAMTZNWkIy+KG7bShpymKDKIvPpXOIIAXz/SynzNqp7vSDWO1r4EmbZl2a9SRdkpBUEQ+GhECOU9XXl5WbjNnmhK65QLm3TGHpFKwrQcB02Gyy/KCLboXHnsKutPJPBy3yBamqv3599Mmk49t0lydnKQRmvp06Qa4x6oxY97Ltoc33ZPX5tFBbDqeSlZxIPzZY2l1JEfxXvHYGVBRoD/23+JIzGpzBjalMCKFoRIuLjDyJ+kRLRrX7LpzTg3N9fqfaylcjl35oxuTmRiBvO2Rtl0DEfolAOrdeZnwaoXoHwgDPhYGVFGsFZnXGo27685RYe6lfhf9/qW7dThf1I17q3vStPmCmu0lXcGNaG+nzevLA/nZrb1My337LUJsGeO5KE75EtpCURH0yhu2KwNTo6+lsFnW6Lo26QaI1tbkWevamPoOxPObZamJa3EnhIJ1tAzuCqPdajFwn2XOHDB+jdjR+m0F6t1bnsfUi7Ag9+Dh3wZZcxhjU5RFHkr9CQAcx9qgbOThWm9BEEK4HXxkBwPDNaN1h3V555uznw1thUpWfnMXHfG6v3v2WszLgz2zIUWj0DTB5URpSMrmpqKLCwy8MryCLzdnPloRIj1GcjbvyCtuW15F9LirNq1YkXb6rjZwjuDG1OnsjevrzhBdr51cU6O1GkPVum8sAOO/AQPTIS6XZUTZQRrdC45HMve89d5a1BjalayMqm6TzUYNEcqc3NwvmIa7aVZgC8TejZg1fGrbD+TZNW+9+S1WZgHqyeAT3UY+KlyonRkRVPOIwt2X+BEXBofPBhiW/JgJycpl6BYBOumWjUlGRdnnSG0By83Fz4ZGUJcag5ztlg3JelInfZgsc68DKloaJUgqbaag7FUZ1xqNh9uOEOn+pV5rEMt8zsYI+QhaDQIdsyWHBFk1igXk3o2INjfh7dXnSQt2/LRzT13bQLs/gyuR0lxiR6+yonSkRXFDZuHh2W5/aKvZfL139EMbl6dwc3tmMOuWAd6vw/R2+DEMot3Cw42W/xVVjrUq8z4B2qz6EAMRy9bXnLI0TptxWKdf8+WRtfDvpW8CB2MJTpLTkF+Oqq57bXMBAGGfCGtCVsxJenoPndzcWLO6BbcyMpn9gbLpyTvuWszIQL2fQEtHoWGfZQVdZ+hdCVtxQ1bVlaW2W0MBpG3Q0/i4eokpcyyl/bPQ80OsOkNyLBsOuXIkSP2n9dK3hgYTA1fT15fccJiL0k1dNqCRTpjD8PhH6X+UikmyBKdK49dZe/567xpyxTknfj4w8DPIPYgHP5JNo1yExLoy/+612PF0Th2RlnmaXxPXZtFBdLLh1dl6P+h8qLuM5SupC3ImXneGG3bthXDwsJK3Wbp4Su8GXqST0eFMKadjdM8d5J8DhZ0gaB+Uu4+MxgMBpxUcOHdfS6ZJ345zMSe9Xmtv/k3SbV0WotZnYV5sKArFGTDhIPgXs5x4kpgTmdadgG95u2idmUvVvyvE06WOoyUhijC4tFw5SBMPAy+pTtJqdXneYVFDP56Hzn5RWx7pRtebqWvl98z1ybA3nnw9yzp2dF4qGOE3YEgCEdFUWxb8n8RERExLVq0kLzOVk+sybUzslbQpmqTbB78zmydt2+//bby119/XU0QBBo3bpyzevXqSzNmzKi2ePHiKgDjx49Pnj59+jVT1bZbtWoVvHTp0ou3io6aqqT9zz//eL755psBu3fvNjp3HxERUaVFixZ17vy/6mVrkjPy+GjjWdrXrcTDchY+9AuCHm/A2XUQtcns5mvXrpXv3FbQPciPUa0DWbD7IlGJ5lMaqaXTWszq3DNXWrsY8qVqRg3M65y7NYrU7HxmP9hMHqMG0pTk4HnSVOSm1+3WqBTuLs58+GAzrt7M4au/zYcp3DPXZmqMtLbWeJhqRk3LhIWFecydO7f67t27z0VFRZ354Ycfruzdu9frzz//rHz06NGzYWFhZ3/77Te//fv3exqrtu2IStqqj9heWnKcLacS2TilKw2qyvyAK8yHH7pCfjZMPCjlldQgqVn59Jq3iwZVy7Hs+Y7yPUC1SvI5mN8Jmo2EkT+qrcYkJ+PSGPbdPp7oWIcZw2SYIr+TvZ/D3zNh7BIIHiT/8WXitb8iWHX8Kusnd5G1uK9mWfIIXNwNk46YHU0ridkRm0p8+OGHVRMTE12/+eabq7f+N3v27Ko3btxw+fLLL+MBpkyZUsPPz69w2LBhaQMHDgwaNmxYyq1q2zExMa49e/YMunTp0m1lJdq1a9coOzvbad++fVEli45WrVq1eVRU1CljlbQ1OWLbGXmNdRHxTOzZQH6jBlKewcGfQ9oV6Q2sFFatWiX/+S2korcbbw1qzJGYVFYcLd1jS02d1mBSpyjCptfA1Qv6qb92YUqnwSDy7ppTVPZ255V+paR0s4dOL0HVJrDxtVKTeKvd528NaoyPhwtvh54sNYm32jotpVSdUZshaqM026OiUdMyoigiCIJ45/+MYazatiMqaatWaDQ7v5B3V5+ivp83/+tRTzkBdTpLKZr++RaSTHt4jRgxQjkNFjC6dSDt6lTko01nSy1vo7ZOSzGp88xquLhLcu0v5+dQTcYwpXPpkVgiYm/y7uDGlDeVC9JenF2lqdj0ONhlOtuK2n1eyduNtwc15tiVmyw9Ynr5RW2dlmJSZ0GONDXsF6zngiyFAQMGpK9du7ZSYmKiM0BSUpJzr169Mjdu3FghIyPDKT093Wnjxo0Ve/bsmWGs2rYjKmmrNmL7Yts5rt7M4eORzXF3UbieUd9Z4F5eKuNuIsXX6tWrldVgBicngQ8eDCEzt5BPNp01uZ3aOi3FqM68TNj8Nvg3l0q6aABjOlOy8vlsSyQP1KvE8JY1jOwlI7U6QJsnpaDthBMWa3Q0o9sE0qFuJT7ZdJbkDONlsrSg0xJM6tz3Bdy8DIPmSi8dOkZp27Zt7quvvprQtWvX4EaNGjWZMGFCzS5dumQ/+uijN1q3bt24TZs2jcePH5/cuXPnHFPVtpWupK3KGltkYjqDv97HQ20C+WRUc0XP/y/H/5Dcd4d9C63H3/WxVjy6PtkUyYLdF1j+Qkfa173by1UrOs1hVOe26bD/K3hmG9Rsr46wOzCm840VJ1h5LI5NU7rSsJqP8iJyUuHbdlChltQ2dxSu1EqfR1/LZOBXexgcUp0vx7a663Ot6DSHUZ03LsD3HaWitqNsS1YtN1pdY5OD/fv3e86ZM8d/9erVl0rbrl+/fvXnzJkTZ6roqGprbOnpt5doEUWR6WtO4+PhwhsDHBjQ2eJRqNUJtr0HWXfXsNuxY4fjtJTC5N4NCKjgyburT1JQdPfoUis6zXGXzuQo+Oc7aDVOM0YN7tZ59HIqy8JieaZLXccYNQDPitD/YynJbtgvZjWqRYOq5Xixe31Wh8cbrQCgFZ3muEunKEoxr85u0O8DdUTdZyhdSVtxw+btfbsn4prweA5fSuH1/sFU9Fa2iORtODnBkM+lFE7b7k7d1K5dO8dpKQUvNxdmDmvKuaRMft5398uMVnSa4zadoggbp0leqX1mqifKCCV1FhYZeG/1Kar7ejC5d0PHCgkZDfV6SJlY7ii9pKU+n9CzAXUqe/HemlN3FSXVks7SuEtn5AYpU1HPt6UAeh2HoGQlbcUNW8kSERm5BXy48SwtAn0Z007GmDVLqdpY8kQLXywFx5YgMjLS8XpM0KdJNfo1qcaX288Rl5p922da0lkat+k8tRIu7YHe08FbWzW7Sur84+BlziSk896QJni7W19H0C4EQVrbKciWpmxNaFQbD1dnZgxryqXrWfy05/Zq8FrSWRq36czPhs1vQtWmUgYcnXsCxQ2bm9t/o7Ivt5/nemYes4Y3s7zkh9x0ew18a8KGV6Hov2FwYGCgOnpM8H5x3NQH6293JNGaTlP8qzMvQ6o6XL0ltHlKXVFGuKXzWnou87aeo2vDKgxsptJbe5WGUjX4iCUQs/8ujVqhR6OqDGzmzzc7oolN+e/FS2s6TXGbzr1zIS0WBs8FZwe/zNiGwWAw3OOBrpZR3A5GvQEVN2y35lCjEjNYdCCGse1q0cJc1WElcfOWClkmnZJKpRSTmpqqniYjBFTw5KVeDdl8OpFdJXL1aU2nKf7VuesTyEyS4gmdFPZ+tYFbOj/aeJa8QgOzhjezPcmxHHSdBr61il+8Cm7TqCXeG9IEZyeBmev+i7HVok5j/KvzejTs/1qqs1a7k7qiLOdUcnKy7/1u3AwGg5CcnOwLnDL2ueKvKIIgFDuMnMLHw4XX+zdS+pTmCR4iVTTe8SE0HQE+/ri6as+999mudVlxNI4Za0+z5eXKuLs4a1KnMVxdXaW4wYPzofXjENhGbUlGcXV15Z8LN1gdHs9LvRpQt4rK2WncvGDgJ7D0UTi0ADq9pMk+r1HBkym9G/Lxpki2nUmib5NqmtRpDFdX1//WfV29pHCgMkJhYeGziYmJCxMTE5vhgIGJhjEApwoLC5819qHihs3JyYm1EfEcupTCRyNCHOswYgpBkDKsf98Rtr4LoxZaXF7Hkbi7SOsZT/xymJ/2XGRSr4aa1GkMD3d32DhRqobd+3215ZjExdWd6atPEVjRkwk9GqgtR6LRIGjYXxrtNhul2T5/ust/L15dGlTRrM478fDwgDNr4OJOGDgHylVVW5LFtGnT5howTG0dWsdmiy8IwgxBEKYIgjCutO3yCwr4cMNZmqvlMGKKyvWhy1Q4+Rdc2sv169oMDeke5MfAZv58u1Naz9CqzjspilgOl/dJRs27stpyTLLo4BXOX8tkxtCmeLppZKpUEKRqzYZC2PK2Zvvc1dmJWcOlJMnf7YzWrM47SUmMhc1vgX+IZhIF6MiLTYZNEITWQI4oil8BPQRBMDkMS8sXSM7MY7aaDiOm6PIyVKgNG6dRp6Z288K9O6QJAgKz15+hTp06assxT246daJ+hBqtpWlIjZKQlsOKs1n0aVyVPk2qqS3ndirVha6vwulVNHQyW0VENTrWr8yIVgH8uOciQnmNtaEJgpPWQEa8tO5bNhxGdKzE1hHbQOCW21Y0YDLiNiW7gLHtaqrrMGIKV09pSjI5kpubP1JbjUkCKnjyUu8GbD2TxB87jqstxzy7PkHIvi55mmnQYeQWs9efobDIwPtyFLdVgk6ToVI9XLa+JdWv0yhvDQrG3cWJ91afNJkMVzMkR+F+/GfNJQq4kz3nktWWUKax1bDVAG61fApQveSHgiA8LwhCmCAIYQKiRQU0VaPRAGg0iHqxf0HaVfPbq8SzXepRz8+blZecLK62rQpJp+HQAgytHocAbTqMgPTg2HgykYk96ttfFVspXD1g0By8cuLhwNdqqzFJVR8PXu0XxOkbBjacTFBbjmlEETa8iuDuo7lEASXJyC1g2l8Rasso08jhVSMAd5Yw+FEUxbaiKLat5iVQSQsOI6Ux4GMMhQWw5W21lZjEzcWJmcOaciUl567AWM0girBhGnj4sl3sqLYak+QVFvH+2tPUreJN7VyjhXm1Q4M+JFRsrmr6OAAAIABJREFUB3vmQepltdWYZNwDtQn0Fpm9/gyZeabTJKnKqZUQs5eTVUdoLlFASb7ZEc01E4mmdSzDVsMWD9y6MioBJl/T/Cr62ngKB1KxDs493pBKqkT/rbYak3Rt6MfgkOr/OpJojhPL4coB6DOD/g8+orYak/y4+yKXrmcxc1hTRgwborYcs1R/chEITlKGDI3i4uzE1090Jik9j6+2n1Nbzt3kpkuJAmq0ovmT89RWY5LzSRn8su8SY9pqyNGuDGKrYdsM3IpobAAcNrVhaYVGtcTq5FpQqZ5Uj0nD6xltnGNwdhKYtd50bTlVyE2TQicC2kCr8YSGhqqtyCixKdl8uzOaQSH+dAvy06zOkoT+fVgqfBm1EaI2qS3HJDFhOxnbria/7I8hMjHd/A6OZPenxYkC5hG6eo3aaowiiiLvrz2Nl5szrw/QQLxvGcbmsjWCIEwH0oEboij+bmo7Y2VrNEv0dvhjFPR6D7pNU1uNSRbsvsAnmyL55cm29ArWiCfapjelgOLnd0KNu0uaaIVnfz3CgQs3+PvV7lT39VRbjuUUFcCCLlIuyQmHpEBuDZKalU+vebtoWNWHZS88oG4Wl1sknYYFXaVyVUO/UluNSTacSGDin8eYNbwpj3esY7RsjY5l2LzGJoriLFEUvyzNqEHZGbGFhoZK2UgaD4M9czW7nhEaGsrTnetS38+bGWvPaMORJPEkHP5BigkqNmpaHAltP5PE9rPXmNK74b9GTYs67yQ0NFQqfDloLty8Avs+V1uSUUJDQ6no7cYbA4I5HJNC6DENOGOVWPe9lShAi32elVfIBxvO0KR6eR7rUFttOWUeVQqNapq0OKnoY72e8Mifaqsxyb7z1xn38yFe7hPElD4OLrFSElGEXwbAjfMwKQy87i6OqgVy8ovo+8VuPF2d2TilK67OZTQb0crnpLXgCQelJAMaxGAQGbXgAFduZLPj1R74eqmYaitiGax6HoZ+DW2eUE+HGT7dHMn8XRdY+WJH2tSW7iF9xGY7Di80qlU2b94s/eIbCN1fh6gNcG6LuqKMcEtnl4ZVGNy8Ot/viubKDRUdSSKWQOxByX26hFH7tz01wve7oolLzWHW8Ga3GTWt6TTGbRr7fQAuHlKeQ43FjN3S6eQkMHt4M1Kz85m7NUo9QTk3i9d920Kr8f/+W2t9fjE5k4V7LzKqdeC/Rk3HPhQ3bOXKlVP6FLLQtWvX//54YCJUCZIcSQpy1BNlhJI63x3cuNiR5HQpeyhIdor04AhsDy0fu+2j29pTZS5dz+KH3RcZ0SqAjvVvT++lJZ2muE2jTzXo9S5c2CGN3DRESZ3NAnx5vGMd/jh0mZNxaeoI2vUxZF+HwfOkQsPFaKnPbzmMeLg48+ZADcf7ljEUN2zZ2Rp0SzdCeHj4f3+4uEnrGakxsO9L1TQZo6TO6r5ShvXtZ6+x/UyS48X8PVN6Kx7yxW0PDrijPVXkVmUJdxcn3hp094NDKzpL4y6NbZ+R8hxufluqd6cR7tT5Sr8gKnu78+7qkxQZHDy6jA+Hwz9KbVWj5W0faanP159IYO/567zSLwg/H3e15dwzKG7Y3N3LRmc1aHBHZvd63aHZKNj3BaRoJyD6Tp1Pda5Lg6rlmLn+tGMdSWIPw9FF8MCL4N/sro/vak+VuPXgeLVfEFV97s4+rxWdpXGXRmcXKc9hRrzkxq4R7tRZ3sOVdwYHExGXxtIjVxwnxFAE66eCtx/0fu+uj7XS5+m5Bcxaf4aQ4tGtjnwobtgKCgqUPoUsJCQYiTHv96HkjbbpDc2sZ9yp083FiVnDmhKbksP8XRccI6KoENa/AuUDoIfxoGGj7elg0nIKmLnuDM0DfRlv4sGhBZ3mMKqxZntp3ejgfLh29u7PVcCYzgdbBtChbiU+2xzFjUwHxYce+Rnij0sFhT3uThChlT6ft0Vqk49GhGgvQXwZR3HD5uys3SS4JfHx8bn7n+WrQ4+34PxWiNzgeFFGMKazU4MqDG1Rg/m7L3D5RpbyIg7/AEknYcAn4G6k3TDRng7ms82RpGSV/uDQgk5zmNTYZ6bU/hte1cSLlzGdgiDwwYPNyMor5NPNkcqLSE+Av2dB/V7QdKTRTbTQ5xGxN/nt4GUe71iHkMAykJ2pjFFGfZ4dSIcXoGoTKZ1RvnbXC98Z1BhXJ4EZa08rm2E97Srs/Aga9oPGQ5U7j50cvZzK4kNXeLpzXZoF3KMPDu/KUmzW5f1wYpnaakzSsJoPz3Spy/KwOMJiUpQ92eY3wVAgOYxoITjcCIVFBt5edRK/cu680i9IbTn3JIobtqIiDQQQW0BGholFeGdX6SZJi4W9cx0rygimdPr7ejC1TxA7o5LZpqQjyeY3pQKYAz8r9cFhsj0dQEGRgbdDT1LD14OX+5b+4FBTp6WUqrH1E1Ias63vSo48KlKazsm9G1Ld14N3V5+isMigjIDz2yRP0W7TpPR4JlC7z38/eJnT8em8P7Qp5T1UjPG7h1HcsLm6lo2Oq169uukPa3eC5mNh/9dw/bzjRBmhNJ1Pdq5Do2o+TF9zmoxcBdY2z22Fs2uh22tSIcxSKLU9FWbh3ktEJWUwa3gzvN1LLySppk5LKVWjk5PkSJJ9A3Z+6DhRRihNp7e7C9OHNCEyMYPf/lEgq09+Nmx4RQrT6TS51E3V7PPEtFzmbT1H9yA/BoX4q6bjXkdxw5aXp92EwiWJjjZTvqTfbHD1Uj0wtjSdrs5OfDIqhKSMXPnXM/IyYP3LUKWR2QcHWNCeCnHlRjZf/X2OAU39LaqKrZZOazCrsUZLya39yELJzV0lzOkc0ExKPP35tnMkpefKe/I9c6R0Y0O+AJfSPbHV7POZ605TUGRg9vBm2sijeY+iuGHz8tJmstY7admyZekblKsqBcZe3KXqeoY5na1qVeSpTnX54+AVjsi5nrF9JqRfheHfSnF+ZjDbngogiiLvrTmFi5MTM4ZZVhVbDZ3WYpHGXu+CV2XJkcSg0FSfGczpFASBWcOakl9k4MMNMnpyJpyQCrG2fAzqdDG7uVp9vulkAptOJTK5d0NqVS4bz8WyiuKGLTMzU+lTyMLevXvNb9TuGajZQXL/z0hUXpQRLNH5ar8gAip48sbKE/LEtl0+AEd+kmLWara3aBeL2lNmQo9dZfe5ZKb1C8Lf9+6YNWOoodNaLNLoWQH6zoarYRD2s/KijGCJzjpVvPlf9/qsjYhn3/nr9p+0qADWTJCMer8PLNpFjT5PzcrnvTWnaRZQnue7mV7/05EHPQmytVw/L5UPadAHxvyhWc+rPeeSefyXw0zq2YBp/e2o7VSQI33fonwp8a6bt3wiZSQpPZe+n++mkb8Py57viNP9GBckivD7CCl4fsIBqFhHbUVGyS0oYuBXe8kvNLDl5W6UM7MOWiq7P5PWFscshsbaLRr7yrJw1kbEs3ZSF5rUKG/RPnoSZNtRfMRWpsrWWEKVhtDzbYhcL5WadzCW6uwW5Meo1oHM332BE3F29MHuT+FGtJQd3Qqj5sjSIKIo8nboSfKLDHw2uoVVRk2LJUzuxGKNggDDvpGqba+Z5PApSUt1erg6M/eh5sSn5dg3JZl0WjJsTUdaZdQc3ec7IpMIPX6VCT0bWGzUdOxDH7HZgqEIfu4LKZdg4mEo56e2IqOk5RTQ/4s9lPNwYf1LXfBwtTJYPvYw/NJfWrsY/q0yImVg5dE4Xv0rgveGNOGZLqV7a94XHP0V1k2W8p22f05tNSb5aONZftxzkd+ebk+3ICvvoaJCWNhbKjM18RB4V1FGpJ3cugd9PV1Z91IX3FwsH0voIzbb0UdsxVj1FufkDMO/g/xMWDfFoV6S1uj09XTls9HNib6WyZwtVpYPycuE0OelMj79P7JSpePeipPSc5m57jTt6lTkqU51rN7/nhqx3aL141C/N2yb7tA8p9bqfKVvEPX9vHlj5QnSrQ1P2fc5JITDoM+sNmqO7PPpa06RnJnHnIeaW2XUdOxDH7HZw4FvpMDYoV9BmyfVVmOS91af4o9Dl1ny3AM8UK+y+R1AMthHf4WnNkpxfBrEYBB54v8OcyQmhU1TulG3ijbX/1QhLQ6+7yhlzXlyg5Q4WYOEx95k5Pf7Gdk6kLkPtbBsp9gj0kxC0xEwWh1HGUtYE36VKUvDeaVvEJN7W18MWB+x2Y7irxBpaSrVYrKS9evXW7/TAxOhbnfY/BZcd0xsjC063xoUTO1KXkz7K8KywO2ozVLm/s6TbTZqNrWnlfy87xJ7z19n+pCmNhs1R+i0F5s0+gbCoDlSEVgHZcyxRWfLmhWY2LMBK47GsS4i3vwOeRkQ+hyUryFlBLIBR/R5XGo2764+RZvaFZnQQ5uVzu9lFB+xtWnTRjx69Kii55CD/Px83NzMx2fdRdpVmN9JSuHzzFYpBZeC2Krz6OUUHv7hIINCqvP12Jamg0Mzk6XvU64qPLfDbLCr3Dot5dTVNEZ8v59ewVVZMK6NzcGuSuuUA7s0rnwOTq2AJzdC7Y7yCrsDW3UWFBkY88M/nE/KZOOUrtSsVEqM15qJcHyxNAqt09mhOi2lyCDy6E8HOXU1jU1Tutkcs6aP2GxHj2Mr5sCBA7bt6BsgTUXGH5Mq9iqMrTrb1K7EK32DWBcRz9IjscY3MhRB6LOQmwYjfrDZqNmj0xKy8wuZvOQ4lb3d+WRkc7syOCipUy7s0jh4HlSoJY1yclLlE2UEW3W6Ojvx1dhWAExeepwCU7kkz6yB439Al5dtNmqgfJ8v2H2BQ5dSmDGsqR6IrRKKGzZPT0+lTyELISEhtu/c9EFoNQ72fi4lYlUQe3S+2L0+XRtWYcba00Qmpt+9wZ45UmaVQXOMFg+1Brva0wwz1p7m0o0sPh/Tgore9r15K6lTLuzS6FEeRv0MGQmwbqqijk726KxZyYuPRoZw/MpNvtpuJB/rjQtSCEONVlIpKTtQss8PXLjOvK1RDG5endFtAhU7j07pKG7Y8vPzlT6FLMTExNh3gIFzoFpTWPkspNp5rFKwR6eTk8DnD7ekvKcrExcfIyuv8L8PL+yEXZ9IyZ5bP66qztL489AVlofFMaFHfTrVt9/FWymdcmK3xsC20PMdKfP9oQWyaDKGvTqHtqjBmLY1+W5XNDujrv33QX4WLBsveSM//JtFKd2U1GmKpPRcJi85Tp0q3nw6yr6ZBB37UNywubho0xvrTqpUsfMh6eYFY36X3oiXPw4FMid5LcZenX4+7nw1piUXr2fxZuhJqXZbeoJkkP0awZDPZcmmYnd7GuHYlVTeX3uKrg2r8EpfO7KplEAJnXIji8bOUyF4CGx5By7tsf94RpBD54xhTWnsX57JS45z6XqWdD+tfxmunYFRC6VpVQ3ovJOCIgMTFx8jO7+IH8a1sS+bio7dKG7YDColZLWW3FwZDFGlejDyB0iIkKoAKIAcOjs1qMJr/RuxLiKeBdtPwbJxUJAND/0qW8osWdqzBNcycnnxj6P4+3rwzSOtTFbEtha5dSqBLBqdnODB+VC5Pvz1pJQJX2bk0Onp5swP49vg4iTw3G9h5P7zo5R0vMdbUho7GVCizz/ZFEnY5VQ+HhlCw2rqV+i+31HcsCntdSkXBQUy1S9rNBC6vgrHf4eD8+U5Zgnk0vli9/qMaOFPzT3TEK8ehZE/QtVgWY4NMrYnkF9oYNLi46TlFPDDuLZU8JLPo01OnUohm0aP8jD2Tylx8LJxUh5QGZFLZ81KXnz3aGuq3ziEy9a3ERv0k2oAyoTcff7noSv8vO8ST3aqw/CWAbIeW8c29KnIYipWrCjfwXq+I037bH4LzqyV77jIp1MQBOZU2cAQ54PMMzzCad9ushz3FnLpNBhEXlsRweGYFD4d1Vz2XHuy9rtCyKqxSkPpJSYhQvKUNMhX4V5OnZ18kvjZ4ysuGPz5qsLr0ohTJuTUuTPqGu+tOUWPRn68O7ixbMfVsQ/deaSYuLg4+Q7m5CytBwS2lR4eVw7JdmjZdIYvwWX/PHKaPcJKj1E8+2sYcanZ8hwb+XR+tPEsa8Ljea1/I0XehmXtd4WQXWOjgdD/Yzi7TqrfJtOsimw6067C4odw9fJhVZOv+HLfNX7ed0meYyOfzlNX05i4+BjB/j58+2hrXJz1lFlaQfGe8PCwrC6W2gQHyzcNB4CrJzyyVMqQsGSsVO5GBmTRGbkB1k6COl3xfPBrfn6yPVl5hTy28JBslY3l0Pnjngss3HeJJzrWVix7g+z9rgCKaOw4QYoHO/p/ssVfyqIzNw3+fBhy0xEe+4vXHu7NwGb+zF5/htBj8hgkOXTGpmTz9KIjVPB05Zcn2+nOIhpDccOWlZWl9Clk4ciRI/If1LsKPLZCKiPy61BIPmf3Ie3WGbUZlj8B1VvA2MXg4kaTGuVZ9HR7rmfkMW7hIW5k5qmuc3lYLB9tjGRwSHWmD22qmOu0Iv0uM4pp7P2+FH+5+1M49KPdh7NbZ06qVE8uORIe/hX8Q3B2EvhybEs6N6jMaytO8PfZJNV1XrmRzdgfD5JbUMQvT7WjWvmy8fJ+P6EnQS7GYDDgJOM8/m0knYbfhgMCPL4GqjWx+VB26Ty/DZY+KiXGfXyNVHW5BAcv3uCJXw7ToGo5Fj/bwS4nDXt0Ltp/iRnrztC1YRUWPtEWdxcry+1YgaL9LhOKaiwqlMJTojZAn5nQZarNh7JLZ3aKdI8kR0reucGDbvs4M6+QR386SGRCBl+NbcnAkOqq6Iy5nsUjPx0kp6CIP57pQLMAX5t1mENPqWU7etmaYtauldfJ4zaqNZVy9QlO8OsQSDxp86Fs1hm5EZY+Bn7BMH7VXUYN4IF6lflhfBvOJ2Uy5oeDdk1L2qJTFEW++fs8M9adoV+Tavz0uLJGDRTud5lQVKOzCzy0CJqNgu3vw7b3bV5zs1lnZjIsGgLJUTB2yV1GDaCcuwu/P92BkEBfJv55jCWHbQ9XsFXnxeRMxvz4D7kFRfz57AOKGjUd+9BHbI7kxgVpSjIvEx5eBPV7Oea8h3+CTa9D9ZYwbiV4VSp18wPR13nutzAqeLnx85NtCfZXvupvkUHk441nWbjvEiNbBfDZ6Ob6YrwjMRRJsZdhv0glmAbNc0ypm+vn4c8xkB4Pjy6Fej1K3Twnv4gJi4+yMyqZ1/o3YkKP+g7J8HH4Ugov/B6GkyCw+LkODrkn9BGb7egjtmJWrVql/Ekq14enN0uJk/8YLcW5WfliYZXOwjyprtrGadCgLzy53qxRAymAe+nzHSkoMjDq+wNsPpVolUZrdablFPDsr0f+dRSZ+1ALhxk1h/S7nThEo5MzDP5cisE8ugj+GAFZ1606hNU6z2+TqmDnpklT4/V6mN3F082ZHx9vy4hWAczZEsWryyPIybcuZMEanaIo8uehK4xbeIiKXm6sfLGTQ4yajn3oIzY1yE2XqlOf2yTFuw39GrwtLABqKclRUqhBQoTk/dbrPenhZQWJabm88HsYEXFpPNGxNm8NaoyHq7xTg4cvpfDysnCuZeQyY1hTHutQW9bj69hA+J9SwmSvyjBivkUGxyoK82DHB3Dga6jWTAoar2hdvxsMIt/ujOaL7ecIqurDF2Nayh7jmJZdwPS1p1gTHk/XhlX45pFWsiYHMIc+YrMdfcRWzOrVqx13slsZIPp9AOc2w3ft4eQKi0ZvZnUW5sHeefBDN7gZC2MWQ58ZVhs1AH9fD5b/ryPPdKnLr/9cZsCXezgQbdlbvDmd6bkFzFh7mrE//oOLs8DyFzqqYtQc2u824nCNLR+FZ7eBeznJoWPdVMm5wwwW6bxyEBZ0lYxamyfh2e1WGzWQEnpP7t2QRU+150ZWPsO/28cX286RW2B+9GZOpyiKbD6VSL8vd7P+RAKv9A1i0VPtHWrUdOzDphGbIAhjRFFcZsm2ZWXEppp3XOIpKaYs/jgEtoNe70pVuU2sG5jUWVQoFZTc9QmkXpJGgoM/B59qssjcH32dt1ed5PKNbHoHV+WVfkE0rWF68dyUztyCIv44eJkFuy9wIyuf8Q/U5vUBwarFAd33XpGlUZAjjawOzpdexjpPhXbPSgbPCKXqTDojxcudXQvlA2Hol9CwrywyU7LymbH2NGsj4gmo4Mnk3g0Y0SoQNxfjWkzpFEWRw5dS+GL7OQ5eTCHY34c5o1sQEqiOk4g+YrMdqw2bIAhDgQmiKA60ZPugoCDx3Dn747eUZvv27fTpI0+SVasxFEH4YtjxIWQmgn8ItBwHTYZD+dvdmm/TKYrSlOOZ1VIBxrRYqBYCfWfIljC2JLkFRfyy/xLzd10gI7eQDnUrMapNIP2aVLvrbbakToNB5MTVNNZHxLPiWBw3swvoVL8ybw4Mpnng3d6ZjkTVfrcQ1TUmnYat78GFv8HDF5qPgZCHIKDNbTMBd+nMTZPiJiOWwMWd4OoNnSdDx0kmjaM9HLx4gw83nOXk1TSqlXdndJtAhraoQaNqPrc5mNypMzkjj82nElhxNI6IuDQqe7sxtW8Qj7SrqaoDk27YbMfWEdsiURSftGTbVq1aicePH7f6HI4mLS0NX1+V3XcLcuHkcilYNqk4JKByAymYukJtcC9Hbm4uHoZsSLkECeGQfhUQoH5P6W06aKCsefWMkZZdwLKwK/x+8DKxKTkIAjSq5kOTGuUJqOCJp5szOTm5ZBQIXLqexcmraaRk5ePiJNC/qT+Pd6xNh3oyrynaiCb63Qya0Rh7BA7/IFWyLsoHz4qSp61fI/CqQk5BIZ7OojQFfu20FNYiGqQRWtunoO3TFjkv2YMoiuw+l8xv/1xmV9Q1DCJU9XEnJMCXulW8qeDlSn5+HkWCC7EpOZxNSOf8tUwAgqqVY/wDtRndpiaebsqGmViCbthsRxHDJgjC88DzAP7+/m0SEhJsFugoDh06RIcOHdSW8R/XIqX1tyv/SKOytFgwFBcGdfGQ6lJVawZ1u0LD/pKnpYMRRZETcWnsiLzGsSupRF/LJCk9F0PxJVXO3YXAip6EBPjSqUFlegRVtbvitdxort+NoDmNOakQ/bc0Cks8CTcuQn5G8YeClEaucn2o+QA06A2B7RV/2TLGtfRcdkUls//CdSITMoi5kUVeoVRGy0mAGhU8aVC1HB3qVqZ7kB+Nq/toqjiobthsp1TDJghCf6BmiX9FiqK4z5oRW4sWLcSIiAj7VDqAq1evEhCg4ZITBgMU5XM1/ioBtZXJmygHRQaRgiID8fHx1Ktd0/wOKqP5fqdsaKQwj/irsdSoWdcmRyVHkVtQRHx8PHVrBWrKiBlDN2y2U+qKvSiKW+w9QWFhob2HcAipqanafng4OYGTB6kZOWhYJc5OAs5OzmRnpHH7O5E20Xy/UzY04uJOSkYuNTRs1AA8XKVrUxC0f23q2I7i8wNafyu6haurq9oSLELXKS9lQWdZ0Ai6Th3tYLVhEwRhONBTEIR+Fp1A467Utygr5XV0nfJSFnSWBY2g69TRDopnHhEEIQOIUvQk8lAFsC6HkDroOuWlLOgsCxpB1yk3jURR9FFbRFnEEVGxUWVhAVQQhDBdp3zoOuWjLGgEXafcCIKg/cwWGqVszBPq6Ojo6OhYiG7YdHR0dHTuKRxh2OyvOe8YdJ3youuUj7KgEXSdclNWdGoOxZ1HdHR0dHR0HIk+Famjo6Ojc0+hGzYdHR0dnXsK3bDp6Ojo6NxTKGbYBEGoKQjCTkEQzgqCcFoQhClKncsKTR6CIBwWBCGiWNNMC/f7QRCEzlr5ToIgNBAEIVkQhBhBEMIFQUgRBOGCIAjl1dBjjOI2666F9jKGIAgDBEGIEgQhWhCEN9XWYw4129PO+0a1a0Ar96uOCoiiqMgPUB1oXfy7D3AOaKLU+SzUJADlin93BQ4BD1iwXzjgrKXvBKwCuhb/vgsIUbNtTbRZgFba6w5tzsAFoB7gBkRoQZdW29PO+0a1a0BL96v+49gfxTKPiKKYACQU/54hCMJZIEAQhHzgHyALuAnUAlKBVqIopiulp1iHCGQW/+la/CMKgtDAlCakG/OcKIpFxd/nru8EnJFbqyAI2wF/Ix+9I4riGqApcKr4f8E4OG2ZhW12FbgKyreXlbQHokVRvAggCMJSYDgq6tJye9p536h2DWjxGaTjGByyxiYIQh2ki/2QKIrRwD5gvCiKLYETwIOOuqAEQXAWBCEcuAZsE0XRnKaBwObSvpMSOkVR7COKYjMjP2sEQfAEPERRTBWk+hs3RFHMV0JHKfqsajOl28tKAoDYEn/HFf9PNbTennLcN2peA1p6Bukoj12GTRCE7YIgnDLyM7zENuWAlcDUEheOYqMNc5pEUSwqvpgDgfaCIDQzo6k/d9+gxr6TI2kCnC3+vXGJ3x2NRW2mgfa6E2O1lLQQ0KnZ9rT3vlHzGnD0M0hHfeyaihRFsU9pnwuC4Ip0QS0WRTG0+H+KjjbMaSqx3U1BEHYBAwRBuGBMkyAIXkAFURTjS/tOKlDypswBWguCECyKYqSjBJjqxzvbTCPtdSdx3F4FNRCIN7GtQygr7WnLfaOmZjWeQTrqo6RXpAD8DJwVRfHzEh+pNtoQBMFPEIQKxb97An2AyFI09QR2ltjf1HdyKKIo/iaK4qvFv+8VRbGeI41aMWbbTCvtZYQjQENBEOoKguAGjAXWqqxJs+1pz32j5jWgxWeQjmNQco2tMzAe6CVILunhgiAMwsRoQ0EdJakO7BQE4QTSw22bKIrrS9F05zqBqe90P2JJm2myvURRLAQmAVuQHmrLRVE8ra4qTbenPfeNmteAFp9BOg5AzxVZCoIgHAM6iKJYoLaWsoLeZvJSFtuzLGrWubfQDZuOjo6Ozj2FnlJLR0dHR+eeQjdsOjo6Ojr3FLph09HR0dG5p9ANm46Ojo7OPYVu2HR0dHR07il0w6ajo6Ojc0+hGzYdHR0dnXsK3bDp6Ojo6NxT/D/gVPB/AAAABElEQVSG0krQIFma5QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 设置刻度范围和刻度标签\n",
    "\n",
    "x = np.linspace(-2*np.pi, 2*np.pi, 200)\n",
    "y_1 = np.sin(x)\n",
    "y_2 = np.cos(x)\n",
    "\n",
    "plt.subplot(211) # 2行1列，指定第一个子图\n",
    "plt.title('正弦余弦曲线图')\n",
    "plt.plot(x,y_1, label=r'$\\sin(x)$')\n",
    "plt.plot(x,y_2,label=r'$\\cos(x)$')\n",
    "plt.legend(loc='lower left', bbox_to_anchor=(1,0.5,0.9,0.9))\n",
    "\n",
    "plt.subplot(212) # 2行1列，指定第二个子图\n",
    "# 1. 刻度以圆周率形式展示\n",
    "# 2. 设置合理的范围\n",
    "plt.xlim(-2*np.pi, 2*np.pi)\n",
    "plt.xticks([-2*np.pi, -1.5 *np.pi, -np.pi, -0.5*np.pi, 0, 0.5*np.pi, np.pi, 1.5*np.pi, 2*np.pi],\n",
    "\t\t[r'$-2\\pi$',r'$-3\\pi/2$',r'$-\\pi$',r'$\\pi/2$',r'$0$',r'$\\pi/2$',r'$3\\pi/2$',r'$2\\pi$'])\n",
    "\n",
    "plt.plot(x,y_1, label=r'$\\sin(x)$')\n",
    "plt.plot(x,y_2,label=r'$\\cos(x)$')\n",
    "plt.grid(axis='x',color='gray',ls=\":\")\n",
    "plt.legend(loc='lower left', bbox_to_anchor=(1,0.5,0.9,0.9))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置逆序坐标轴刻度\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "## 设置逆序坐标轴刻度\n",
    "x = np.arange(1,11,0.5)\n",
    "y = np.power(x, 2) + 0.7\n",
    "plt.subplot(211)\n",
    "plt.plot(x,y)\n",
    "\n",
    "plt.subplot(212)\n",
    "plt.plot(x,y)\n",
    "plt.xlim(10 ,1)  # 逆序显示坐标轴刻度\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 饼图下面添加表格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "## 饼图下面添加表格\n",
    "# 饼图\n",
    "elements = ['简易箱','保鲜箱', '行李箱', '密封箱']\n",
    "colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3']\n",
    "sold_nums = [0.05, 0.45, 0.15, 0.35]\n",
    "explode = (0.1,0.1,0.1,0.1)\n",
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "\n",
    "plt.legend(wedges, elements, fontsize=12, title='占比', loc='center left', bbox_to_anchor=(0.9,0,0,0))\n",
    "plt.setp(autotexts,size=15,weight='bold')\n",
    "plt.setp(texts, size=12)\n",
    "# Set a property on an artist object.\n",
    "\n",
    "# 添加表格\n",
    "col_labels = elements\n",
    "row_labels = ['销量']\n",
    "values = [[5,45,15,35]] \n",
    "plt.table(cellText=values, # 二维列表的形式，至少一行\n",
    "\tcellColours=[colors], # 二维列表的形式，至少一行\n",
    "\tcolWidths=[0.1]*4, # 每列的宽度\n",
    "\tcolLabels=col_labels, # 每列的标签\n",
    "\trowLabels=row_labels, # 每行的标签\n",
    "\tloc='bottom', # 表格整体的位置\n",
    "\trowLoc='center', # 每行元素的样式\n",
    "\tcellLoc='center')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 饼图下面添加表格\n",
    "# 饼图\n",
    "elements = ['简易箱','保鲜箱', '行李箱', '密封箱']\n",
    "colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3']\n",
    "sold_nums = [0.05, 0.45, 0.15, 0.35]\n",
    "explode = (0.1,0.1,0.1,0.1)\n",
    "wedges, texts, autotexts = plt.pie(x=sold_nums, \n",
    "\t\t\t\t\t\t\t\t\tlabels=elements,\n",
    "\t\t\t\t\t\t\t\t\tautopct=\"%3.1f%%\",  # 饼图内部显示的数字格式\n",
    "\t\t\t\t\t\t\t\t\tstartangle=60,  # 偏离角度\n",
    "\t\t\t\t\t\t\t\t\tcolors=colors,\n",
    "\t\t\t\t\t\t\t\t\texplode=explode)  # 设置偏离半径的百分比\n",
    "\n",
    "plt.legend(wedges, elements, fontsize=12, title='占比', loc='center left', bbox_to_anchor=(0.9,0,0,0))\n",
    "plt.setp(autotexts,size=15,weight='bold')\n",
    "plt.setp(texts, size=12)\n",
    "# Set a property on an artist object.\n",
    "\n",
    "# 添加表格\n",
    "col_labels = elements\n",
    "row_labels = ['销量']\n",
    "values = [[5,45,15,35],[5,45,15,35],[5,45,15,35]]  # 三行\n",
    "plt.table(cellText=values, # 二维列表的形式，至少一行\n",
    "\tcellColours=[colors]*3, # 二维列表的形式，至少一行\n",
    "\tcolWidths=[0.1]*4, # 每列的宽度\n",
    "\tcolLabels=col_labels, # 每列的标签\n",
    "\trowLabels=row_labels*3, # 每行的标签\n",
    "\tloc='bottom', # 表格整体的位置\n",
    "\trowLoc='center', # 每行元素的样式\n",
    "\tcellLoc='center')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['简易箱', '保鲜箱', '行李箱', '密封箱']]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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